{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T04:15:17Z","timestamp":1775535317224,"version":"3.50.1"},"reference-count":890,"publisher":"Emerald","issue":"4-5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,31]]},"abstract":"<jats:p>Electronic commerce, or e-commerce, is the buying and selling of goods and services, or the transmitting of funds or data online. E-commerce platforms come in many kinds, with global players such as Amazon, Airbnb, Alibaba, Booking.com, eBay, and JD.com and platforms targeting specific geographic regions such as Bol.com and Flipkart.com. Information retrieval has a natural role to play in e-commerce, especially in connecting people to goods and services. Information discovery in e-commerce concerns different types of search (e.g., exploratory search vs. lookup tasks), recommender systems, and natural language processing in e-commerce portals. The rise in popularity of e-commerce sites has made research on information discovery in e-commerce an increasingly active research area. This is witnessed by an increase in publications and dedicated workshops in this space. Methods for information discovery in e-commerce largely focus on improving the effectiveness of e-commerce search and recommender systems, on enriching and using knowledge graphs to support e-commerce, and on developing innovative question answering and bot-based solutions that help to connect people to goods and services. In this survey, an overview is given of the fundamental infrastructure, algorithms, and technical solutions for information discovery in e-commerce. The topics covered include user behavior and profiling, search, recommendation, and language technology in e-commerce.<\/jats:p>","DOI":"10.1561\/1500000097","type":"journal-article","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T07:41:47Z","timestamp":1735630907000},"page":"417-690","source":"Crossref","is-referenced-by-count":6,"title":["Information Discovery in E-commerce"],"prefix":"10.1561","volume":"18","author":[{"given":"Zhaochun","family":"Ren","sequence":"first","affiliation":[{"name":"Leiden University ,","place":["The Netherlands"]}]},{"given":"Xiangnan","family":"He","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China ,","place":["China"]}]},{"given":"Dawei","family":"Yin","sequence":"additional","affiliation":[{"name":"Baidu Inc. ,","place":["China"]}]},{"given":"Maarten","family":"de Rijke","sequence":"additional","affiliation":[{"name":"University of Amsterdam ,","place":["The Netherlands"]}]}],"member":"140","published-online":{"date-parts":[[2024,12,31]]},"reference":[{"key":"2026040623332282600_ref001","first-page":"529","article-title":"\u201cPopularity Bias in Ranking and Recommendation\u201d","volume-title":"Proceedings of AIES","author":"Abdollahpouri","year":"(2019)"},{"key":"2026040623332282600_ref002","first-page":"377","article-title":"\u201cUser Profiling in Personalization Applications through Rule Discovery and Validation\u201d","volume-title":"Proceedings of KDD","author":"Adomavicius","year":"(1999)"},{"issue":"(6)","key":"2026040623332282600_ref003","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","article-title":"\u201cToward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions\u201d","volume":"17","author":"Adomavicius","year":"(2005)","journal-title":"IEEE Transactions on Knowledge & Data Engineering"},{"key":"2026040623332282600_ref004","first-page":"1160","article-title":"\u201cUser-SimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems\u201d","volume-title":"Proceedings of WSDM","author":"Afzali","year":"(2023)"},{"key":"2026040623332282600_ref005","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1145\/1148170.1148177","article-title":"\u201cImproving Web Search Ranking by Incorporating User Behavior Information\u201d","volume-title":"Proceedings of SIGIR","author":"Agichtein","year":"(2006)"},{"key":"2026040623332282600_ref006","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.114757","article-title":"\u201cOn Deep Neural Network for Trust Aware Cross Domain Recommendations in E-commerce\u201d","volume":"174","author":"Ahmed","year":"(2021)","journal-title":"Expert Systems with Applications"},{"key":"2026040623332282600_ref007","article-title":"\u201cUsing Wikipedia at the TREC QA Track\u201d","volume-title":"Proceedings of TREC","author":"Ahn","year":"(2004)"},{"key":"2026040623332282600_ref008","first-page":"135","article-title":"\u201cLearning a Deep Listwise Context Model for Ranking Refinement\u201d","volume-title":"Proceedings of SIGIR","author":"Ai","year":"(2018)"},{"key":"2026040623332282600_ref009","first-page":"379","article-title":"\u201cA Zero Attention Model for Personalized Product Search\u201d","volume-title":"Proceedings of CIKM","author":"Ai","year":"(2019)"},{"key":"2026040623332282600_ref010","first-page":"645","article-title":"\u201cLearning a Hierarchical Embedding Model for Personalized Product Search\u201d","volume-title":"Proceedings of SIGIR","author":"Ai","year":"(2017)"},{"issue":"(1)","key":"2026040623332282600_ref011","first-page":"1","article-title":"\u201cExplainable Product Search with a Dynamic Relation Embedding Model\u201d","volume":"38","author":"Ai","year":"(2019)","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"2026040623332282600_ref012","article-title":"\u201cHomophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors\u201d","volume-title":"Proceedings of ICWSM","author":"Al Zamal","year":"(2012)"},{"key":"2026040623332282600_ref013","first-page":"760","article-title":"\u201cRelevance Criteria for E-Commerce: A Crowdsourcing-Based Experimental Analysis\u201d","volume-title":"Proceedings of SIGIR","author":"Alonso","year":"(2009)"},{"key":"2026040623332282600_ref014","first-page":"13","article-title":"\u201cLuke, I am Your Father: Dealing with Out-of-Domain Requests by Using Movies Subtitles\u201d","volume-title":"Proceedings of IVA","author":"Ameixa","year":"(2014)"},{"issue":"(4)","key":"2026040623332282600_ref015","first-page":"53","article-title":"\u201cThe New E-commerce Intermediaries\u201d","volume":"43","author":"Anderson","year":"(2002)","journal-title":"MIT Sloan Management Review"},{"key":"2026040623332282600_ref016","first-page":"459","article-title":"\u201cNear-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions\u201d","volume-title":"Proceedings of FOCS","author":"Andoni","year":"(2006)"},{"key":"2026040623332282600_ref017","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1162\/tacl_a_00366","article-title":"\u201cExtractive Opinion Summarization in Quantized Transformer Spaces\u201d","volume":"9","author":"Angelidis","year":"(2021)","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"2026040623332282600_ref018","first-page":"3675","article-title":"\u201cSummarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised\u201d","volume-title":"Proceedings of EMNLP","author":"Angelidis","year":"(2018)"},{"key":"2026040623332282600_ref019","first-page":"257","article-title":"\u201cMend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products\u201d","volume-title":"Proceedings of ECML-PKDD","author":"Anwaar","year":"(2020)"},{"key":"2026040623332282600_ref020","first-page":"1240","article-title":"\u201cReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping\u201d","volume-title":"Proceedings of SIGIR","author":"Ariannezhad","year":"(2022)"},{"key":"2026040623332282600_ref021","doi-asserted-by":"crossref","DOI":"10.1145\/3459637.3482208","article-title":"\u201cUnderstanding Multi-channel Customer Behavior in Retail\u201d","volume-title":"Proceedings of CIKM","author":"Ariannezhad","year":"(2021)"},{"key":"2026040623332282600_ref022","doi-asserted-by":"crossref","DOI":"10.1145\/3539597.3570417","article-title":"\u201cA Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping\u201d","volume-title":"Proceedings of WSDM","author":"Ariannezhad","year":"(2023)"},{"key":"2026040623332282600_ref023","first-page":"46","article-title":"\u201cDemand Forecasting in the Presence of Privileged Information\u201d","volume-title":"Proceedings of AALTD","author":"Ariannezhad","year":"(2020)"},{"key":"2026040623332282600_ref024","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1145\/3124749.3124758","article-title":"\u201cAn Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy\u201d","volume-title":"Proceedings of ADKDD","author":"Aryafar","year":"(2017)"},{"key":"2026040623332282600_ref025","article-title":"\u201cConceptualizing Agent-human Interactions During the Conversational Search Process\u201d","volume-title":"Proceedings of CAIR","author":"Azzopardi","year":"(2018)"},{"key":"2026040623332282600_ref026","article-title":"\u201cNeural Machine Translation by Jointly Learning to Align and Translate\u201d","volume-title":"Proceedings of ICLR","author":"Bahdanau","year":"(2015)"},{"key":"2026040623332282600_ref027","first-page":"1201","article-title":"\u201cAn Attribute-aware Neural Attentive Model for Next Basket Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Bai","year":"(2018)"},{"key":"2026040623332282600_ref028","first-page":"28","article-title":"\u201cDeep Neural Architecture for Multi-Modal Retrieval Based on Joint Embedding Space for Text and Images\u201d","volume-title":"Proceedings of WSDM","author":"Balaneshin-kordan","year":"(2018)"},{"key":"2026040623332282600_ref029","first-page":"49","article-title":"\u201cOn the Investigation of Similarity Measures for Product Resolution\u201d","volume-title":"Proceedings of LDH","author":"Balog","year":"(2011)"},{"key":"2026040623332282600_ref030","first-page":"2697","article-title":"\u201cSim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation\u201d","volume-title":"Proceedings of SIGIR","author":"Balog","year":"(2021)"},{"key":"2026040623332282600_ref031","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1863879.1863888","article-title":"\u201cEntity Search: Building Bridges between Two Worlds\u201d","volume-title":"Proceedings of 3rd International Semantic Search Workshop","author":"Balog","year":"(2010)"},{"key":"2026040623332282600_ref032","first-page":"37","article-title":"\u201cIRIS: A Chat-oriented Dialogue System based on the Vector Space Model\u201d","volume-title":"Proceedings of ACL","author":"Banchs","year":"(2013)"},{"key":"2026040623332282600_ref033","first-page":"2201","article-title":"\u201cGMCM: Graph-based Micro-behavior Conversion Model for Postclick Conversion Rate Estimation\u201d","volume-title":"Proceedings of SIGIR","author":"Bao","year":"(2020)"},{"key":"2026040623332282600_ref034","first-page":"4502","article-title":"\u201cInteraction Networks for Learning about Objects, Relations and Physics\u201d","volume-title":"Proceedings of NIPS","author":"Battaglia","year":"(2016)"},{"key":"2026040623332282600_ref035","first-page":"1156","article-title":"\u201cYodaQA: A Modular Question Answering System Pipeline\u201d","volume-title":"Proceedings of POSTER","author":"Baudi\u0161","year":"(2015)"},{"key":"2026040623332282600_ref036","doi-asserted-by":"crossref","DOI":"10.4135\/9781412984379","volume-title":"Handbook of Marketing Scales: Multi-item Measures for Marketing and Consumer Behavior Research","author":"Bearden","year":"(1999)"},{"issue":"(3)","key":"2026040623332282600_ref037","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/0957-4174(95)00011-W","article-title":"\u201cCases, Scripts, and Information-seeking Strategies: On the Design of Interactive Information Retrieval Systems\u201d","volume":"9","author":"Belkin","year":"(1995)","journal-title":"Expert Systems with Applications"},{"issue":"(2)","key":"2026040623332282600_ref038","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1145\/1345448.1345465","article-title":"\u201cLessons from the Netflix Prize Challenge\u201d","volume":"9","author":"Bell","year":"(2007)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"issue":"(12)","key":"2026040623332282600_ref039","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1145\/322796.322805","article-title":"\u201cPredictors of Online Buying Behavior\u201d","volume":"42","author":"Bellman","year":"(1999)","journal-title":"Communications of the ACM"},{"key":"2026040623332282600_ref040","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1145\/2792838.2798723","article-title":"\u201cRecSys Challenge 2015 and the YOOCHOOSE Dataset\u201d","volume-title":"Proceedings of RecSys","author":"Ben-Shimon","year":"(2015)"},{"key":"2026040623332282600_ref041","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1145\/1507509.1507511","article-title":"\u201cAnalysis of Long Queries in a Large Scale Search Log\u201d","volume-title":"Proceedings of WSCD","author":"Bendersky","year":"(2009)"},{"key":"2026040623332282600_ref042","first-page":"1533","article-title":"\u201cSemantic Parsing on Freebase from Question-Answer Pairs\u201d","volume-title":"Proceedings of EMNLP","author":"Berant","year":"(2013)"},{"key":"2026040623332282600_ref043","unstructured":"Bernardi\n              L.\n            \n            \n              Kamps\n              J.\n            \n            \n              Kiseleva\n              J.\n            \n            \n              M\u00fcller\n              M. J.\n            \n          \n          (2015)\n          \u201cThe Continuous Cold Start Problem in e-Commerce Recommender Systems\u201d\n          arXiv preprint\n          1508.01177"},{"key":"2026040623332282600_ref044","first-page":"31668","article-title":"\u201cAutoregressive Search Engines: Generating Substrings as Document Identifiers\u201d","volume-title":"Proceedings of NIPS","author":"Bevilacqua","year":"(2022)"},{"key":"2026040623332282600_ref045","first-page":"1039","article-title":"\u201cPredicting Product Adoption in Large-Scale Social Networks\u201d","volume-title":"Proceedings of CIKM","author":"Bhatt","year":"(2010)"},{"key":"2026040623332282600_ref046","first-page":"1521","article-title":"\u201cA Transformer-based Embedding Model for Personalized Product Search\u201d","volume-title":"Proceedings of SIGIR","author":"Bi","year":"(2020)"},{"key":"2026040623332282600_ref047","first-page":"123","article-title":"\u201cLearning a Fine-Grained Review-based Transformer Model for Personalized Product Search\u201d","volume-title":"Proceedings of SIGIR","author":"Bi","year":"(2021)"},{"key":"2026040623332282600_ref048","first-page":"359","article-title":"\u201cConversational Product Search Based on Negative Feedback\u201d","volume-title":"Proceedings of CIKM","author":"Bi","year":"(2019)"},{"key":"2026040623332282600_ref049","first-page":"2333","article-title":"\u201cA Study of Context Dependencies in Multi-page Product Search\u201d","volume-title":"Proceedings of CIKM","author":"Bi","year":"(2019)"},{"key":"2026040623332282600_ref050","article-title":"\u201cLeverage Implicit Feedback for Context-aware Product Search\u201d","volume-title":"Proceedings of SIGIR Workshop on E-Commerce","author":"Bi","year":"(2020)"},{"key":"2026040623332282600_ref051","first-page":"3737","article-title":"\u201cContrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation\u201d","volume-title":"Proceedings of CIKM","author":"Bian","year":"(2021)"},{"key":"2026040623332282600_ref052","doi-asserted-by":"crossref","unstructured":"Bjerva\n              J.\n            \n            \n              Bhutani\n              N.\n            \n            \n              Golshan\n              B.\n            \n            \n              Tan\n              W.-C.\n            \n            \n              Augenstein\n              I.\n            \n          \n          (2020)\n          \u201cSubjQA: A Dataset for Subjectivity and Review Comprehension\u201d\n          arXiv preprint\n          2004.14283","DOI":"10.18653\/v1\/2020.emnlp-main.442"},{"key":"2026040623332282600_ref053","article-title":"\u201cSpoken Dialog Challenge 2010: Comparison of Live and Control Test Results\u201d","volume-title":"Proceedings of SIGDIAL","author":"Black","year":"(2011)"},{"key":"2026040623332282600_ref054","first-page":"531","article-title":"\u201cReturns to Consumer Search: Evidence from eBay\u201d","volume-title":"Proceedings of EC","author":"Blake","year":"(2016)"},{"key":"2026040623332282600_ref055","first-page":"57","article-title":"\u201cIncorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks\u201d","volume-title":"Proceedings of CEUR","author":"Bogina","year":"(2017)"},{"key":"2026040623332282600_ref056","unstructured":"Bordes\n              A.\n            \n            \n              Usunier\n              N.\n            \n            \n              Chopra\n              S.\n            \n            \n              Weston\n              J.\n            \n          \n          (2015)\n          \u201cLarge-scale Simple Question Answering with Memory Networks\u201d\n          arXiv preprint\n          1506.02075"},{"key":"2026040623332282600_ref057","article-title":"\u201cLearning End-to-End Goal-Oriented Dialog\u201d","volume-title":"Proceedings of ICLR","author":"Bordes","year":"(2017)"},{"key":"2026040623332282600_ref058","first-page":"531","article-title":"\u201cA Neural Click Model for Web Search\u201d","volume-title":"Proceedings of Web Conference","author":"Borisov","year":"(2016)"},{"key":"2026040623332282600_ref059","article-title":"\u201cPersonalization and Customization Technologies\u201d","volume-title":"The Internet Encyclopedia","author":"Braynov","year":"(2003)"},{"key":"2026040623332282600_ref060","first-page":"4119","article-title":"\u201cFew-Shot Learning for Opinion Summarization\u201d","volume-title":"Proceedings of EMNLP","author":"Bra\u017einskas","year":"(2020)"},{"issue":"(1)","key":"2026040623332282600_ref061","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"\u201cRandom Forests\u201d","volume":"45","author":"Breiman","year":"(2001)","journal-title":"Machine Learning"},{"key":"2026040623332282600_ref062","first-page":"90","article-title":"\u201cData-Intensive Question Answering\u201d","volume-title":"Proceedings of TREC","author":"Brill","year":"(2001)"},{"key":"2026040623332282600_ref063","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/792550.792552","article-title":"\u201cA Taxonomy of Web Search\u201d","author":"Broder","year":"(2002)","journal-title":"ACM SIGIR Forum"},{"issue":"(11\/12)","key":"2026040623332282600_ref064","doi-asserted-by":"crossref","first-page":"1666","DOI":"10.1108\/03090560310495401","article-title":"\u201cBuying or Browsing? An Exploration of Shopping Orientations and Online Purchase Intention\u201d","volume":"37","author":"Brown","year":"(2003)","journal-title":"European Journal of Marketing"},{"key":"2026040623332282600_ref065","unstructured":"Brown\n              T. B.\n            \n          \n          (2020)\n          \u201cLanguage Models are Few-shot Learners\u201d\n          arXiv preprint\n          2005.14165"},{"key":"2026040623332282600_ref066","article-title":"\u201cSpectral Networks and Locally Connected Networks on Graphs\u201d","volume-title":"Proceedings of ICLR","author":"Bruna","year":"(2014)"},{"key":"2026040623332282600_ref067","first-page":"5016","article-title":"\u201cMultiWOZ-A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling\u201d","volume-title":"Proceedings of EMNLP","author":"Budzianowski","year":"(2018)"},{"key":"2026040623332282600_ref068","first-page":"89","article-title":"\u201cLearning to Rank Using Gradient Descent\u201d","volume-title":"Proceedings of SIGIR","author":"Burges","year":"(2005)"},{"issue":"(23-581)","key":"2026040623332282600_ref069","first-page":"81","article-title":"\u201cFrom RankNet to LambdaRank to LambdaMART: An Overview\u201d","volume":"11","author":"Burges","year":"(2010)","journal-title":"Learning"},{"key":"2026040623332282600_ref070","first-page":"727","article-title":"\u201cMining Knowledge from Wikipedia for the Question Answering Task\u201d","volume-title":"Proceedings of LREC","author":"Buscaldi","year":"(2006)"},{"key":"2026040623332282600_ref071","first-page":"122","article-title":"\u201cZero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking\u201d","volume-title":"Proceedings of ACL","author":"Campagna","year":"(2020)"},{"key":"2026040623332282600_ref072","first-page":"743","article-title":"\u201cWhat Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints\u201d","volume-title":"Proceedings of SIGIR","author":"Cao","year":"(2017)"},{"key":"2026040623332282600_ref073","first-page":"182","article-title":"\u201cLatent Variable Dialogue Models and Their Diversity\u201d","volume-title":"Proceedings of EACL","author":"Cao","year":"(2017)"},{"key":"2026040623332282600_ref074","first-page":"81","article-title":"\u201cTransitive Hashing Network for Heterogeneous Multimedia Retrieval\u201d","volume-title":"Proceedings of AAAI","author":"Cao","year":"(2017)"},{"key":"2026040623332282600_ref075","first-page":"129","article-title":"\u201cLearning to Rank: From Pairwise Approach to Listwise Approach\u201d","volume-title":"Proceedings of ICML","author":"Cao","year":"(2007)"},{"key":"2026040623332282600_ref076","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1145\/290941.291025","article-title":"\u201cThe Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries\u201d","volume-title":"Proceedings of SIGIR","author":"Carbonell","year":"(1998)"},{"key":"2026040623332282600_ref077","first-page":"1349","article-title":"\u201cProduct Question Answering Using Customer Generated Content - Research Challenges\u201d","volume-title":"Proceedings of SIGIR","author":"Carmel","year":"(2018)"},{"key":"2026040623332282600_ref078","first-page":"2942","article-title":"\u201cControllable Multi-interest Framework for Recommendation\u201d","volume-title":"Proceedings of KDD","author":"Cen","year":"(2020)"},{"key":"2026040623332282600_ref079","first-page":"2007","article-title":"\u201cConvolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences\u201d","volume-title":"Proceedings of IJCAI","author":"Chan","year":"(2018)"},{"key":"2026040623332282600_ref080","first-page":"4959","article-title":"\u201cStick to Facts: Towards Fidelity-oriented Product Description Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Chan","year":"(2019)"},{"key":"2026040623332282600_ref081","first-page":"3785","article-title":"\u201cTWIN: Two-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou\u201d","volume-title":"Proceedings of KDD","author":"Chang","year":"(2023)"},{"key":"2026040623332282600_ref082","first-page":"2643","article-title":"\u201cExtreme Multi-label Learning for Semantic Matching in Product Search\u201d","volume-title":"Proceedings of KDD","author":"Chang","year":"(2021)"},{"key":"2026040623332282600_ref083","first-page":"1097","article-title":"\u201cModeling Delayed Feedback in Display Advertising\u201d","volume-title":"Proceedings of KDD","author":"Chapelle","year":"(2014)"},{"issue":"(4)","key":"2026040623332282600_ref084","first-page":"61","article-title":"\u201cSimple and Scalable Response Prediction for Display Advertising\u201d","volume":"5","author":"Chapelle","year":"(2015)","journal-title":"ACM Transactions on Intelligent Systems and Technology (TIST)"},{"key":"2026040623332282600_ref085","first-page":"3757","article-title":"\u201cEnhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models\u201d","volume-title":"Proceedings of CIKM","author":"Chen","year":"(2021)"},{"key":"2026040623332282600_ref086","first-page":"602","article-title":"\u201cCross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators\u201d","volume-title":"Proceedings of NAACL","author":"Chen","year":"(2018)"},{"key":"2026040623332282600_ref087","first-page":"1870","article-title":"\u201cReading Wikipedia to Answer Open-Domain Questions\u201d","volume-title":"Proceedings of ACL","author":"Chen","year":"(2017)"},{"key":"2026040623332282600_ref088","first-page":"34","article-title":"\u201cOpen-Domain Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Chen","year":"(2020)"},{"key":"2026040623332282600_ref089","first-page":"3002","article-title":"\u201cAction-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems\u201d","volume-title":"Proceedings of NAACL","author":"Chen","year":"(2021)"},{"key":"2026040623332282600_ref090","first-page":"1516","article-title":"\u201cNeural Collaborative Reasoning\u201d","volume-title":"Proceedings of Web Conference","author":"Chen","year":"(2021)"},{"issue":"(2)","key":"2026040623332282600_ref091","article-title":"\u201cA Survey on Dialogue Systems: Recent Advances and New Frontiers\u201d","volume":"19","author":"Chen","year":"(2017)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"key":"2026040623332282600_ref092","doi-asserted-by":"crossref","DOI":"10.1145\/3178876.3186077","article-title":"\u201cHierarchical Variational Memory Network for Dialogue Generation\u201d","volume-title":"Proceedings of Web Conference","author":"Chen","year":"(2018)"},{"key":"2026040623332282600_ref093","first-page":"1650","article-title":"\u201cNeural Sentiment Classification with User and Product Attention\u201d","volume-title":"Proceedings of EMNLP","author":"Chen","year":"(2016)"},{"key":"2026040623332282600_ref094","first-page":"21","article-title":"\u201cAutoDebias: Learning to Debias for Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Chen","year":"(2021)"},{"key":"2026040623332282600_ref095","unstructured":"Chen\n              J.\n            \n            \n              Dong\n              H.\n            \n            \n              Wang\n              X.\n            \n            \n              Feng\n              F.\n            \n            \n              Wang\n              M.\n            \n            \n              He\n              X.\n            \n          \n          (2020a)\n          \u201cBias and Debias in Recommender System: A Survey and Future Directions\u201d\n          arXiv preprint\n          2010.03240"},{"key":"2026040623332282600_ref096","first-page":"811","article-title":"\u201cDeep CTR Prediction in Display Advertising\u201d","volume-title":"Proceedings of MM","author":"Chen","year":"(2016)"},{"key":"2026040623332282600_ref097","unstructured":"Chen\n              L.\n            \n            \n              Zhang\n              G.\n            \n            \n              Zhou\n              H.\n            \n          \n          (2017c)\n          \u201cImproving the Diversity of Top-N Recommendation via Determinantal Point Process\u201d\n          CoRR\n          1709.05135"},{"key":"2026040623332282600_ref098","first-page":"45","article-title":"\u201cAnswer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks\u201d","volume-title":"Proceedings of AAAI","author":"Chen","year":"(2019)"},{"issue":"(9)","key":"2026040623332282600_ref099","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1109\/TASLP.2019.2919872","article-title":"\u201cAgentGraph: Toward Universal Dialogue Management With Structured Deep Reinforcement Learning\u201d","volume":"27","author":"Chen","year":"(2019)","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"2026040623332282600_ref100","first-page":"7521","article-title":"\u201cSchema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks\u201d","volume-title":"Proceedings of AAAI","author":"Chen","year":"(2020)"},{"key":"2026040623332282600_ref101","first-page":"459","article-title":"\u201cThe JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service\u201d","volume-title":"Proceedings of LREC","author":"Chen","year":"(2020)"},{"key":"2026040623332282600_ref102","first-page":"7350","article-title":"\u201cSequential Matching Model for Endto-end Multi-turn Response Selection\u201d","volume-title":"Proceedings of ICASSP","author":"Chen","year":"(2019)"},{"key":"2026040623332282600_ref103","first-page":"1803","article-title":"\u201cTowards Knowledge-Based Recommender Dialog System\u201d","volume-title":"Proceedings of EMNLP","author":"Chen","year":"(2019)"},{"key":"2026040623332282600_ref104","first-page":"3040","article-title":"\u201cTowards Knowledge-Based Personalized Product Description Generation in E-commerce\u201d","volume-title":"Proceedings of KDD","author":"Chen","year":"(2019)"},{"key":"2026040623332282600_ref105","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1145\/3289600.3290971","article-title":"\u201cDriven Answer Generation for Product-Related Questions in E-Commerce\u201d","volume-title":"Proceedings of WSDM","author":"Chen","year":"(2019)"},{"key":"2026040623332282600_ref106","first-page":"785","article-title":"\u201cXGBoost: A Scalable Tree Boosting System\u201d","volume-title":"Proceedings of KDD","author":"Chen","year":"(2016)"},{"key":"2026040623332282600_ref107","first-page":"891","article-title":"\u201cTry This Instead: Personalized and Interpretable Substitute Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Chen","year":"(2020)"},{"key":"2026040623332282600_ref108","first-page":"2116","article-title":"\u201cSemi-supervised User Profiling with Heterogeneous Graph Attention Networks\u201d","volume-title":"Proceedings of IJCAI","author":"Chen","year":"(2019)"},{"key":"2026040623332282600_ref109","first-page":"3426","article-title":"\u201cBridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Chen","year":"(2020)"},{"key":"2026040623332282600_ref110","unstructured":"Chen\n              X.\n            \n            \n              Zhang\n              Y.\n            \n            \n              Xu\n              H.\n            \n            \n              Cao\n              Y.\n            \n            \n              Qin\n              Z.\n            \n            \n              Zha\n              H.\n            \n          \n          (2018c)\n          \u201cVisually Explainable Recommendation\u201d\n          arXiv preprint\n          1801.10288"},{"key":"2026040623332282600_ref111","first-page":"985","article-title":"\u201cTop-N Recommendation with High-dimensional Side Information via Locality Preserving Projection\u201d","volume-title":"Proceedings of SIGIR","author":"Chen","year":"(2017)"},{"key":"2026040623332282600_ref112","unstructured":"Chen\n              Y.\n            \n            \n              Li\n              J.\n            \n            \n              Liu\n              C.\n            \n            \n              Li\n              C.\n            \n            \n              Anderle\n              M.\n            \n            \n              McAuley\n              J. J.\n            \n            \n              Xiong\n              C.\n            \n          \n          (2021e)\n          \u201cModeling Dynamic Attributes for Next Basket Recommendation\u201d\n          CoRR\n          2109.11654"},{"key":"2026040623332282600_ref113","first-page":"369","article-title":"\u201cAsymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction\u201d","volume-title":"Proceedings of Web Conference","author":"Chen","year":"(2022)"},{"key":"2026040623332282600_ref114","first-page":"347","article-title":"\u201cAspect Extraction with Automated Prior Knowledge Learning\u201d","volume-title":"Proceedings of ACL","author":"Chen","year":"(2014)"},{"key":"2026040623332282600_ref115","first-page":"2994","article-title":"\u201cTowards Explainable Conversational Recommendation\u201d","volume-title":"Proceedings of IJCAI","author":"Chen","year":"(2020)"},{"key":"2026040623332282600_ref116","first-page":"256","article-title":"\u201cIHGNN: Interactive Hypergraph Neural Network for Personalized Product Search\u201d","volume-title":"Proceedings of Web Conference","author":"Cheng","year":"(2022)"},{"key":"2026040623332282600_ref117","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1145\/2988450.2988454","article-title":"\u201cWide & Deep Learning for Recommender Systems\u201d","volume-title":"Proceedings of Workshop on Deep Learning for Recommender Systems","author":"Cheng","year":"(2016)"},{"key":"2026040623332282600_ref118","first-page":"3888","article-title":"\u201cDynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction\u201d","volume-title":"Proceedings of CIKM","author":"Cheng","year":"(2022)"},{"key":"2026040623332282600_ref119","first-page":"1279","article-title":"\u201cLooking at CTR Prediction Again: Is Attention All You Need?\u201d","volume-title":"Proceedings of SIGIR","author":"Cheng","year":"(2021)"},{"key":"2026040623332282600_ref120","unstructured":"Choi\n              K.\n            \n            \n              Fazekas\n              G.\n            \n            \n              Sandler\n              M. B.\n            \n          \n          (2016)\n          \u201cTowards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions\u201d\n          ArXiv"},{"key":"2026040623332282600_ref121","first-page":"139","article-title":"\u201cQ&R: A Two-stage Approach toward Interactive Recommendation\u201d","volume-title":"Proceedings of KDD","author":"Christakopoulou","year":"(2018)"},{"key":"2026040623332282600_ref122","first-page":"815","article-title":"\u201cTowards Conversational Recommender Systems\u201d","volume-title":"Proceedings of KDD","author":"Christakopoulou","year":"(2016)"},{"key":"2026040623332282600_ref123","first-page":"1478","article-title":"\u201cH-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search\u201d","volume-title":"Proceedings of SIGIR","author":"Chu","year":"(2022)"},{"key":"2026040623332282600_ref124","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-02294-4","volume-title":"Click Models for Web Search","author":"Chuklin","year":"(2015)"},{"key":"2026040623332282600_ref125","first-page":"3734","article-title":"\u201cAffect-Driven Dialog Generation\u201d","volume-title":"Proceedings of NAACL","author":"Colombo","year":"(2019)"},{"key":"2026040623332282600_ref126","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1145\/2959100.2959190","article-title":"\u201cDeep Neural Networks for YouTube Recommendations\u201d","volume-title":"Proceedings of RecSys","author":"Covington","year":"(2016)"},{"issue":"(6)","key":"2026040623332282600_ref127","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1002\/(SICI)1097-4571(198711)38:6<389::AID-ASI1>3.0.CO;2-4","article-title":"\u201cI3R: A new approach to the design of document retrieval systems\u201d","volume":"38","author":"Croft","year":"(1987)","journal-title":"Journal of the American Society for Information Science"},{"key":"2026040623332282600_ref128","unstructured":"Cuay\u00e1huitl\n              H.\n            \n            \n              Keizer\n              S.\n            \n            \n              Lemon\n              O.\n            \n          \n          (2015)\n          \u201cStrategic Dialogue Management via Deep Reinforcement Learning\u201d\n          arXiv preprint\n          1511.08099"},{"issue":"(3)","key":"2026040623332282600_ref129","article-title":"\u201cUser Profiling-A Short Review\u201d","volume":"108","author":"Cufoglu","year":"(2014)","journal-title":"International Journal of Computer Applications"},{"key":"2026040623332282600_ref130","first-page":"2328","article-title":"\u201cKnowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Cui","year":"(2021)"},{"key":"2026040623332282600_ref131","first-page":"102","article-title":"\u201cAn Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search\u201d","volume-title":"Proceedings of SIGIR","author":"Dagan","year":"(2021)"},{"key":"2026040623332282600_ref132","first-page":"252","article-title":"\u201cA Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction\u201d","volume-title":"Proceedings of KDD","author":"Dai","year":"(2022)"},{"key":"2026040623332282600_ref133","first-page":"380","article-title":"\u201cContrastive Learning for User Sequence Representation in Personalized Product Search\u201d","volume-title":"Proceedings of KDD","author":"Dai","year":"(2023)"},{"key":"2026040623332282600_ref134","unstructured":"Das\n              M.\n            \n            \n              Wang\n              Z.\n            \n            \n              Jaffe\n              E.\n            \n            \n              Chattopadhyay\n              M.\n            \n            \n              Fosler-Lussier\n              E.\n            \n            \n              Ramnath\n              R.\n            \n          \n          (2019)\n          \u201cLearning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation\u201d\n          arXiv preprint\n          1910.08270"},{"key":"2026040623332282600_ref135","unstructured":"De Cao\n              N.\n            \n            \n              Izacard\n              G.\n            \n            \n              Riedel\n              S.\n            \n            \n              Petroni\n              F.\n            \n          \n          (2020)\n          \u201cAutoregressive Entity Retrieval\u201d\n          arXiv preprint\n          2010.00904"},{"key":"2026040623332282600_ref136","first-page":"2","article-title":"\u201cBeyond Accuracy Goals, Again\u201d","volume-title":"Proceedings of WSDM","author":"de Rijke","year":"(2023)"},{"key":"2026040623332282600_ref137","first-page":"245","article-title":"\u201cOverview of the INEX 2007 Entity Ranking Track\u201d","volume-title":"Proceedings of INEX","author":"de Vries","year":"(2007)"},{"key":"2026040623332282600_ref138","first-page":"580","article-title":"\u201cGenerative Slate Recommendation with Reinforcement Learning\u201d","volume-title":"Proceedings of WSDM","author":"Deffayet","year":"(2023)"},{"key":"2026040623332282600_ref139","first-page":"3844","article-title":"\u201cConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering\u201d","volume-title":"Proceedings of NIPS","author":"Defferrard","year":"(2016)"},{"key":"2026040623332282600_ref140","article-title":"\u201ceCom: The SIGIR 2017 Workshop on eCommerce\u201d","volume-title":"Proceedings of SIGIR","author":"Degenhardt","year":"(2017)"},{"key":"2026040623332282600_ref141","first-page":"189","article-title":"\u201cA Vector Space Model for Ranking Entities and Its Application to Expert Search\u201d","volume-title":"Proceedings of ECIR","author":"Demartini","year":"(2009)"},{"key":"2026040623332282600_ref142","first-page":"210","article-title":"\u201cUse of Kernel Deep Convex Networks and End-to-end Learning for Spoken Language Understanding\u201d","volume-title":"Proceedings of SLT","author":"Deng","year":"(2012)"},{"issue":"(4)","key":"2026040623332282600_ref143","first-page":"1","article-title":"\u201cToward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling\u201d","volume":"40","author":"Deng","year":"(2022)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref144","first-page":"255","article-title":"\u201cOpinion-Aware Answer Generation for Review-Driven Question Answering in E-Commerce\u201d","volume-title":"Proceedings of CIKM","author":"Deng","year":"(2020)"},{"issue":"(3)","key":"2026040623332282600_ref145","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3570640","article-title":"\u201cA Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems\u201d","volume":"41","author":"Deng","year":"(2023)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref146","first-page":"2713","article-title":"\u201cDeep Belief Network based Semantic Taggers for Spoken Language Understanding\u201d","volume-title":"Proceedings of Interspeech","author":"Deoras","year":"(2013)"},{"key":"2026040623332282600_ref147","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1007\/s10462-020-09866-x","article-title":"\u201cSurvey on Evaluation Methods for Dialogue Systems\u201d","volume":"54","author":"Deriu","year":"(2020)","journal-title":"Artificial Intelligence Review"},{"key":"2026040623332282600_ref148","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/P17-1045","article-title":"\u201cTowards End-to-End Reinforcement Learning of Dialogue Agents for Information Access\u201d","volume-title":"Proceedings of ACL","author":"Dhingra","year":"(2017)"},{"key":"2026040623332282600_ref149","first-page":"8173","article-title":"\u201cQueens are Powerful too: Mitigating Gender Bias in Dialogue Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Dinan","year":"(2020)"},{"key":"2026040623332282600_ref150","article-title":"\u201cWizard of Wikipedia: Knowledge-Powered Conversational Agents\u201d","volume-title":"Proceedings of ICLR","author":"Dinan","year":"(2019)"},{"key":"2026040623332282600_ref151","unstructured":"Ding\n              S.\n            \n            \n              Feng\n              F.\n            \n            \n              He\n              X.\n            \n            \n              Liao\n              Y.\n            \n            \n              Shi\n              J.\n            \n            \n              Zhang\n              Y.\n            \n          \n          (2021)\n          \u201cCausal Incremental Graph Convolution for Recommender System Retraining\u201d\n          arXiv preprint\n          2108.06889"},{"key":"2026040623332282600_ref152","first-page":"2389","article-title":"\u201cMining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network\u201d","volume-title":"Proceedings of AAAI","author":"Ding","year":"(2015)"},{"key":"2026040623332282600_ref153","first-page":"623","article-title":"\u201cLearning to Generate Product Reviews from Attributes\u201d","volume-title":"Proceedings of EACL","author":"Dong","year":"(2017)"},{"key":"2026040623332282600_ref154","first-page":"15","article-title":"\u201cInferring User Demographics and Social Strategies in Mobile Social Networks\u201d","volume-title":"Proceedings of KDD","author":"Dong","year":"(2014)"},{"key":"2026040623332282600_ref155","first-page":"315","article-title":"\u201cEnhancing Graph Neural Network-Based Fraud Detectors against Camouflaged Fraudsters\u201d","volume-title":"Proceedings of CIKM","author":"Dou","year":"(2020)"},{"key":"2026040623332282600_ref156","first-page":"2179","article-title":"\u201cA Probabilistic Mixture Model for Mining and Analyzing Product Search Log\u201d","volume-title":"Proceedings of CIKM","author":"Duan","year":"(2013)"},{"issue":"(14)","key":"2026040623332282600_ref157","doi-asserted-by":"crossref","first-page":"1786","DOI":"10.14778\/2556549.2556562","article-title":"\u201cSupporting Keyword Search in Product Database: A Probabilistic Approach\u201d","volume":"6","author":"Duan","year":"(2013)","journal-title":"Proceedings of VLDB"},{"key":"2026040623332282600_ref158","unstructured":"Dunn\n              M.\n            \n            \n              Sagun\n              L.\n            \n            \n              Higgins\n              M.\n            \n            \n              Guney\n              V. U.\n            \n            \n              Cirik\n              V.\n            \n            \n              Cho\n              K.\n            \n          \n          (2017)\n          \u201cSearchQA: A New Q&A Dataset Augmented with Context from a Search Engine\u201d\n          arXiv preprint\n          1704.05179"},{"key":"2026040623332282600_ref159","first-page":"45","article-title":"\u201cSequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings\u201d","volume-title":"Proceedings of ACL","author":"Du\u0161ek","year":"(2016)"},{"key":"2026040623332282600_ref160","first-page":"223","article-title":"\u201cLessons from the Journey: A Query Log Analysis of within-Session Learning\u201d","volume-title":"Proceedings of WSDM","author":"Eickhoff","year":"(2014)"},{"key":"2026040623332282600_ref161","first-page":"1775","article-title":"\u201cPixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time\u201d","volume-title":"Proceedings of Web Conference","author":"Eksombatchai","year":"(2018)"},{"key":"2026040623332282600_ref162","first-page":"37","article-title":"\u201cKey-Value Retrieval Networks for Task-Oriented Dialogue\u201d","volume-title":"Proceedings of SIGDIAL","author":"Eric","year":"(2017)"},{"key":"2026040623332282600_ref163","first-page":"468","article-title":"\u201cA Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue\u201d","volume-title":"Proceedings of EACL","author":"Eric","year":"(2017)"},{"key":"2026040623332282600_ref164","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.emnlp-industry.46","article-title":"\u201cFact Checking Machine Generated Text with Dependency Trees\u201d","volume-title":"Proceedings of EMNLP","author":"Estes","year":"(2022)"},{"key":"2026040623332282600_ref165","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1145\/3340631.3394850","article-title":"\u201cRecency Aware Collaborative Filtering for Next Basket Recommendation\u201d","volume-title":"Proceedings of UMAP","author":"Faggioli","year":"(2020)"},{"key":"2026040623332282600_ref166","doi-asserted-by":"crossref","DOI":"10.1145\/3485447.3511949","article-title":"\u201cModeling User Behavior with Graph Convolution for Personalized Product Search\u201d","volume-title":"Proceedings of Web Conference","author":"Fan","year":"(2022)"},{"key":"2026040623332282600_ref167","first-page":"2715","article-title":"\u201cProduct-Aware Helpfulness Prediction of Online Reviews\u201d","volume-title":"Proceedings of Web Conference","author":"Fan","year":"(2019)"},{"key":"2026040623332282600_ref168","first-page":"567","article-title":"\u201cReading Customer Reviews to Answer Product-related Questions\u201d","volume-title":"Proceedings of SDM","author":"Fan","year":"(2019)"},{"key":"2026040623332282600_ref169","first-page":"343","article-title":"\u201cMulti-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews\u201d","volume-title":"Proceedings of ASONAM","author":"Fan","year":"(2018)"},{"key":"2026040623332282600_ref170","first-page":"2509","article-title":"\u201cMOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu\u2019s Sponsored Search\u201d","volume-title":"Proceedings of KDD","author":"Fan","year":"(2019)"},{"key":"2026040623332282600_ref171","first-page":"1871","article-title":"\u201cLIBLINEAR: A Library for Large Linear Classification\u201d","volume":"9","author":"Fan","year":"(2008)","journal-title":"Journal of Machine Learning Research"},{"key":"2026040623332282600_ref172","first-page":"171","article-title":"\u201cUser Profiling through Deep Multimodal Fusion\u201d","volume-title":"Proceedings of WSDM","author":"Farnadi","year":"(2018)"},{"key":"2026040623332282600_ref173","first-page":"8","article-title":"\u201cCombining Data Mining and Machine Learning for Effective User Profiling\u201d","volume-title":"Proceedings of KDD","author":"Fawcett","year":"(1996)"},{"key":"2026040623332282600_ref174","first-page":"553","article-title":"\u201cLatent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective\u201d","volume-title":"Proceedings of Web Conference","author":"Fei","year":"(2021)"},{"key":"2026040623332282600_ref175","first-page":"389","article-title":"\u201cReciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations\u201d","volume-title":"Proceedings of COLING","author":"Feng","year":"(2022)"},{"key":"2026040623332282600_ref176","first-page":"115","article-title":"\u201cDynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking\u201d","volume-title":"Proceedings of ACL","author":"Feng","year":"(2022)"},{"key":"2026040623332282600_ref177","first-page":"1135","article-title":"\u201cMulti-Type Textual Reasoning for Product-Aware Answer Generation\u201d","volume-title":"Proceedings of SIGIR","author":"Feng","year":"(2021)"},{"key":"2026040623332282600_ref178","first-page":"2301","article-title":"\u201cDeep Session Interest Network for Click-Through Rate Prediction\u201d","volume-title":"Proceedings of IJCAI","author":"Feng","year":"(2019)"},{"key":"2026040623332282600_ref179","first-page":"1041","article-title":"\u201cOn Including the User Dynamic in Learning to Rank\u201d","volume-title":"Proceedings of SIGIR","author":"Ferro","year":"(2017)"},{"issue":"(6)","key":"2026040623332282600_ref180","first-page":"1","article-title":"\u201cBoosting Learning to Rank with User Dynamics and Continuation Methods\u201d","volume":"23","author":"Ferro","year":"(2019)","journal-title":"Information Retrieval Journal"},{"issue":"(3)","key":"2026040623332282600_ref181","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1609\/aimag.v31i3.2303","article-title":"\u201cBuilding Watson: An Overview of the DeepQA Project\u201d","volume":"31","author":"Ferrucci","year":"(2010)","journal-title":"AI Magazine"},{"key":"2026040623332282600_ref182","first-page":"663","article-title":"\u201cInstructPTS: Instruction-Tuning LLMs for Product Title Summarization\u201d","volume-title":"Proceedings of EMNLP","author":"Fetahu","year":"(2023)"},{"issue":"(Nov)","key":"2026040623332282600_ref183","first-page":"933","article-title":"\u201cAn Efficient Boosting Algorithm for Combining Preferences\u201d","volume":"4","author":"Freund","year":"(2003)","journal-title":"Journal of Machine Learning Research"},{"key":"2026040623332282600_ref184","first-page":"1024","article-title":"\u201cOverview of the SBS 2016 Interactive Track\u201d","volume-title":"Proceedings of CLEF","author":"G\u00e4de","year":"(2016)"},{"key":"2026040623332282600_ref185","first-page":"1623","article-title":"\u201cGraph Neural Networks for Recommender System\u201d","volume-title":"Proceedings of WSDM","author":"Gao","year":"(2022)"},{"key":"2026040623332282600_ref186","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.aiopen.2021.06.002","article-title":"\u201cAdvances and Challenges in Conversational Recommender Systems: A Survey\u201d","volume":"2","author":"Gao","year":"(2021)","journal-title":"AI Open"},{"key":"2026040623332282600_ref187","first-page":"487","article-title":"\u201cBLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation\u201d","volume-title":"Proceedings of DASFAA","author":"Gao","year":"(2019)"},{"key":"2026040623332282600_ref188","first-page":"1673","article-title":"\u201cModeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks\u201d","volume-title":"Proceedings of CIKM","author":"Gao","year":"(2013)"},{"key":"2026040623332282600_ref189","first-page":"1371","article-title":"\u201cNeural Approaches to Conversational AI\u201d","volume-title":"Proceedings of SIGIR","author":"Gao","year":"(2018)"},{"issue":"(2)","key":"2026040623332282600_ref190","first-page":"1","article-title":"\u201cMeaningful Answer Generation of E-Commerce Question-Answering\u201d","volume":"39","author":"Gao","year":"(2021)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref191","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1145\/3289600.3290992","article-title":"\u201cProduct-Aware Answer Generation in E-Commerce Question-Answering\u201d","volume-title":"Proceedings of WSDM","author":"Gao","year":"(2019)"},{"key":"2026040623332282600_ref193","first-page":"264","article-title":"\u201cDialog State Tracking: A Neural Reading Comprehension Approach\u201d","volume-title":"Proceedings of SIGDIAL","author":"Gao","year":"(2019)"},{"key":"2026040623332282600_ref194","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.acl-main.60","article-title":"\u201cParaphrase Augmented Task-Oriented Dialog Generation\u201d","volume-title":"Proceedings of ACL","author":"Gao","year":"(2020)"},{"key":"2026040623332282600_ref195","first-page":"257","article-title":"\u201cScaling up Online Question Answering via Similar Question Retrieval\u201d","volume-title":"Proceedings of ACM Conference on Learning @ Scale","author":"Geigle","year":"(2016)"},{"key":"2026040623332282600_ref196","first-page":"1828","article-title":"\u201cHow Personality Affects our Likes: Towards a Better Understanding of Actionable Images\u201d","volume-title":"Proceedings of MM","author":"Gelli","year":"(2017)"},{"key":"2026040623332282600_ref197","first-page":"850","article-title":"\u201cLearning to Forget: Continual Prediction with LSTM\u201d","volume-title":"Proceedings of ICANN","author":"Gers","year":"(1999)"},{"key":"2026040623332282600_ref198","first-page":"2131","article-title":"\u201cQuestion Generation for Reading Comprehension Assessment by Modeling How and What to Ask\u201d","volume-title":"Findings of ACL","author":"Ghanem","year":"(2022)"},{"key":"2026040623332282600_ref199","first-page":"5110","article-title":"\u201cA Knowledge-Grounded Neural Conversation Model\u201d","volume-title":"Proceedings of AAAI","author":"Ghazvininejad","year":"(2018)"},{"key":"2026040623332282600_ref200","first-page":"198","article-title":"\u201cOffline A\/B Testing for Recommender Systems\u201d","volume-title":"Proceedings of WSDM","author":"Gilotte","year":"(2018)"},{"key":"2026040623332282600_ref201","unstructured":"Go\n              A.\n            \n            \n              Bhayani\n              R.\n            \n            \n              Huang\n              L.\n            \n          \n          (2009)\n          \u201cTwitter Sentiment Classification using Distant Supervision\u201d\n          CS224N Project Report, Stanford\n          1\n          (12)"},{"key":"2026040623332282600_ref202","first-page":"701","article-title":"\u201cA Form-based Dialogue Manager for Spoken Language Applications\u201d","volume-title":"Proceedings of ICSLP","author":"Goddeau","year":"(1996)"},{"issue":"(4)","key":"2026040623332282600_ref203","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1017\/S0269888906000397","article-title":"\u201cUser Profiling in Personal Information Agents: A Survey\u201d","volume":"20","author":"Godoy","year":"(2005)","journal-title":"The Knowledge Engineering Review"},{"key":"2026040623332282600_ref204","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.knosys.2017.03.023","article-title":"\u201cBalancing Accuracy and Diversity in Recommendations Using Matrix Completion Framework\u201d","volume":"125","author":"Gogna","year":"(2017)","journal-title":"Knowledge-Based Systems"},{"key":"2026040623332282600_ref205","first-page":"2477","article-title":"\u201cEdgeRec: Recommender System on Edge in Mobile Taobao\u201d","volume-title":"Proceedings of CIKM","author":"Gong","year":"(2020)"},{"key":"2026040623332282600_ref206","first-page":"9460","article-title":"\u201cAutomatic Generation of Chinese Short Product Titles for Mobile Display\u201d","volume-title":"Proceedings of AAAI","author":"Gong","year":"(2019)"},{"key":"2026040623332282600_ref207","article-title":"\u201cTopical-Chat: Towards Knowledge-Grounded Open-Domain Conversations\u201d","volume-title":"Proceedings of Interspeech","author":"Gopalakrishnan","year":"(2020)"},{"key":"2026040623332282600_ref208","first-page":"326","article-title":"\u201cScalable Recommendation with Hierarchical Poisson Factorization\u201d","volume-title":"Proceedings of UAI","author":"Gopalan","year":"(2015)"},{"key":"2026040623332282600_ref209","first-page":"13","article-title":"\u201cWeb-Scale Bayesian Click-through Rate Prediction for Sponsored Search Advertising in Microsoft\u2019s Bing Search Engine\u201d","volume-title":"Proceedings of ICML","author":"Graepel","year":"(2010)"},{"key":"2026040623332282600_ref210","first-page":"2041","article-title":"\u201cSpeaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots\u201d","volume-title":"Proceedings of CIKM","author":"Gu","year":"(2020)"},{"key":"2026040623332282600_ref211","first-page":"1631","article-title":"\u201cIncorporating Copying Mechanism in Sequence-to-Sequence Learning\u201d","volume-title":"Proceedings of ACL","author":"Gu","year":"(2016)"},{"key":"2026040623332282600_ref212","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1145\/3336191.3371827","article-title":"\u201cHierarchical User Profiling for E-commerce Recommender Systems\u201d","volume-title":"Proceedings of WSDM","author":"Gu","year":"(2020)"},{"key":"2026040623332282600_ref213","first-page":"895","article-title":"\u201cMarket Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences\u201d","volume-title":"Proceedings of ICDM","author":"Guidotti","year":"(2017)"},{"issue":"(11)","key":"2026040623332282600_ref214","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1016\/j.jbusres.2015.06.004","article-title":"\u201cViral Effects of Social Network and Media on Consumers\u2019 Purchase Intention\u201d","volume":"68","author":"Gunawan","year":"(2015)","journal-title":"Journal of Business Research"},{"key":"2026040623332282600_ref215","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1145\/1498759.1498818","article-title":"\u201cEfficient Multiple-Click Models in Web Search\u201d","volume-title":"Proceedings of WSDM","author":"Guo","year":"(2009)"},{"key":"2026040623332282600_ref216","first-page":"1725","article-title":"\u201cDeepFM: A Factorization-Machine based Neural Network for CTR Prediction\u201d","volume-title":"Proceedings of IJCAI","author":"Guo","year":"(2017)"},{"key":"2026040623332282600_ref217","first-page":"55","article-title":"\u201cA Deep Relevance Matching Model for Ad-hoc Retrieval\u201d","volume-title":"Proceedings of CIKM","author":"Guo","year":"(2016)"},{"key":"2026040623332282600_ref218","first-page":"1297","article-title":"\u201cMatchzoo: A Learning, Practicing, and Developing System for Neural Text Matching\u201d","volume-title":"Proceedings of SIGIR","author":"Guo","year":"(2019)"},{"key":"2026040623332282600_ref219","first-page":"2320","article-title":"\u201cBeyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking\u201d","volume-title":"Proceedings of ACL","author":"Guo","year":"(2022)"},{"key":"2026040623332282600_ref220","first-page":"275","article-title":"\u201cEnhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation\u201d","volume-title":"Proceedings of SIGIR","author":"Guo","year":"(2021)"},{"key":"2026040623332282600_ref221","first-page":"157","article-title":"\u201cThe Role of Social Networks in Online Shopping: Information Passing, Price of Trust, and Consumer Choice\u201d","volume-title":"Proceedings of EC","author":"Guo","year":"(2011)"},{"key":"2026040623332282600_ref222","first-page":"727","article-title":"\u201cMISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction\u201d","volume-title":"Proceedings of ICDE","author":"Guo","year":"(2022)"},{"issue":"(2)","key":"2026040623332282600_ref223","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3295822","article-title":"\u201cAttentive Long Short-Term Preference Modeling for Personalized Product Search\u201d","volume":"37","author":"Guo","year":"(2019)","journal-title":"ACM Transactions on Information Systems"},{"issue":"(2)","key":"2026040623332282600_ref224","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3295822","article-title":"\u201cAttentive Long Short-Term Preference Modeling for Personalized Product Search\u201d","volume":"37","author":"Guo","year":"(2019)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref225","first-page":"1865","article-title":"\u201cMulti-Modal Preference Modeling for Product Search\u201d","volume-title":"Proceedings of MM","author":"Guo","year":"(2018)"},{"key":"2026040623332282600_ref226","doi-asserted-by":"crossref","unstructured":"Gupta\n              M.\n            \n            \n              Kulkarni\n              N.\n            \n            \n              Chanda\n              R.\n            \n            \n              Rayasam\n              A.\n            \n            \n              Lipton\n              Z. C.\n            \n          \n          (2019)\n          \u201cAmazonQA: A Review-Based Question Answering Task\u201d\n          arXiv preprint arXiv:1908.04364","DOI":"10.24963\/ijcai.2019\/694"},{"key":"2026040623332282600_ref227","first-page":"180","article-title":"\u201cIdentifying Purchase Intent from Social Posts\u201d","volume-title":"Proceedings of ICWSM","author":"Gupta","year":"(2014)"},{"key":"2026040623332282600_ref228","first-page":"3929","article-title":"\u201cRetrieval Augmented Language Model Pre-Training\u201d","volume-title":"Proceedings of ICML","author":"Guu","year":"(2020)"},{"key":"2026040623332282600_ref229","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.jbusres.2016.10.004","article-title":"\u201cA Social Commerce Investigation of the Role of Trust in a Social Networking Site on Purchase Intentions\u201d","volume":"71","author":"Hajli","year":"(2017)","journal-title":"Journal of Business Research"},{"key":"2026040623332282600_ref230","first-page":"1024","article-title":"\u201cInductive Representation Learning on Large Graphs\u201d","volume-title":"Proceedings of NIPS","author":"Hamilton","year":"(2017)"},{"key":"2026040623332282600_ref231","first-page":"213","article-title":"\u201cTwitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text\u201d","volume-title":"Proceedings of Workshop on Noisy User-generated Text","author":"Han","year":"(2016)"},{"key":"2026040623332282600_ref232","first-page":"1549","article-title":"\u201cFine-grained Post-training for Improving Retrieval-based Dialogue Systems\u201d","volume-title":"Proceedings of NAACL","author":"Han","year":"(2021)"},{"key":"2026040623332282600_ref233","first-page":"5666","article-title":"\u201cSANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning\u201d","volume-title":"Proceedings of COLING","author":"Han","year":"(2022)"},{"issue":"(6)","key":"2026040623332282600_ref234","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.ijinfomgt.2004.08.004","article-title":"\u201cPredicting Online Grocery Buying Intention: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behavior\u201d","volume":"24","author":"Hansen","year":"(2004)","journal-title":"International Journal of Information Management"},{"issue":"(4)","key":"2026040623332282600_ref235","first-page":"1","article-title":"\u201cThe MovieLens Datasets: History and Context\u201d","volume":"5","author":"Harper","year":"(2015)","journal-title":"ACM Transactions on Interactive Intelligent Systems"},{"key":"2026040623332282600_ref236","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"Hastie","year":"(2009)"},{"key":"2026040623332282600_ref237","first-page":"388","article-title":"\u201cAn Unsupervised Neural Attention Model for Aspect Extraction\u201d","volume-title":"Proceedings of ACL","author":"He","year":"(2017)"},{"key":"2026040623332282600_ref238","first-page":"191","article-title":"\u201cFusing Similarity Models with Markov Chains for Sparse Sequential Recommendation\u201d","volume-title":"Proceedings of ICDM","author":"He","year":"(2016)"},{"key":"2026040623332282600_ref239","first-page":"507","article-title":"\u201cUps and Downs: Modeling the Visual Evolution of Fashion Trends with One-class Collaborative Filtering\u201d","volume-title":"Proceedings of Web Conference","author":"He","year":"(2016)"},{"key":"2026040623332282600_ref240","first-page":"187","article-title":"\u201cUnified Dialog Model Pre-Training for Task-Oriented Dialog Understanding and Generation\u201d","volume-title":"Proceedings of SIGIR","author":"He","year":"(2022)"},{"key":"2026040623332282600_ref241","first-page":"10749","article-title":"\u201cGalaxy: A Generative Pre-trained Model for Task-oriented Dialog with Semi-supervised Learning and Explicit Policy Injection\u201d","volume-title":"Proceedings of AAAI","author":"He","year":"(2022)"},{"key":"2026040623332282600_ref242","first-page":"355","article-title":"\u201cNeural Factorization Machines for Sparse Predictive Analytics\u201d","volume-title":"Proceedings of SIGIR","author":"He","year":"(2017)"},{"key":"2026040623332282600_ref243","first-page":"639","article-title":"\u201cLightGCN: Simplifying and Powering Graph Convolution Network for Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"He","year":"(2020)"},{"key":"2026040623332282600_ref244","first-page":"173","article-title":"\u201cNeural Collaborative Filtering\u201d","volume-title":"Proceedings of Web Conference","author":"He","year":"(2017)"},{"key":"2026040623332282600_ref245","first-page":"1","article-title":"\u201cPractical Lessons from Predicting Clicks on Ads at Facebook\u201d","volume-title":"Proceedings of ADKDD","author":"He","year":"(2014)"},{"key":"2026040623332282600_ref246","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139644082","volume-title":"Search User Interfaces","author":"Hearst","year":"(2009)"},{"key":"2026040623332282600_ref247","first-page":"35","article-title":"\u201cTripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking\u201d","volume-title":"Proceedings of SIGDIAL","author":"Heck","year":"(2020)"},{"key":"2026040623332282600_ref248","first-page":"1011","article-title":"\u201cTree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions\u201d","volume-title":"Proceedings of NAACL","author":"Heilman","year":"(2010)"},{"key":"2026040623332282600_ref249","first-page":"263","article-title":"\u201cThe Second Dialog State Tracking Challenge\u201d","volume-title":"Proceedings of SIGDIAL","author":"Henderson","year":"(2014)"},{"key":"2026040623332282600_ref250","first-page":"324","article-title":"\u201cThe Third Dialog State Tracking Challenge\u201d","volume-title":"Proceedings of SLT","author":"Henderson","year":"(2014)"},{"key":"2026040623332282600_ref251","first-page":"467","article-title":"\u201cDeep Neural Network Approach for the Dialog State Tracking Challenge\u201d","volume-title":"Proceedings of SIGDIAL","author":"Henderson","year":"(2013)"},{"key":"2026040623332282600_ref252","first-page":"123","article-title":"\u201cEthical Challenges in Data-Driven Dialogue Systems\u201d","volume-title":"Proceedings of the AAAI\/ACM Conference on AI, Ethics, and Society","author":"Henderson","year":"(2018)"},{"key":"2026040623332282600_ref253","article-title":"\u201cAnalyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers\u201d","volume-title":"Proceedings of SIGIR Workshop on eCommerce","author":"Hendriksen","year":"(2020)"},{"key":"2026040623332282600_ref254","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1145\/312624.312682","article-title":"\u201cAn Algorithmic Framework for Performing Collaborative Filtering\u201d","volume-title":"Proceedings of SIGIR","author":"Herlocker","year":"(1999)"},{"key":"2026040623332282600_ref255","first-page":"762","article-title":"\u201cPredictive Uncertainty-based Bias Mitigation in Ranking\u201d","volume-title":"Proceedings of CIKM","author":"Heuss","year":"(2023)"},{"key":"2026040623332282600_ref256","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1145\/2959100.2959167","article-title":"\u201cParallel Recurrent Neural Network Architectures for Feature-Rich Session-Based Recommendations\u201d","volume-title":"Proceedings of RecSys","author":"Hidasi","year":"(2016)"},{"key":"2026040623332282600_ref257","first-page":"1319","article-title":"\u201cQuery Reformulation in E-Commerce Search\u201d","volume-title":"Proceedings of SIGIR","author":"Hirsch","year":"(2020)"},{"issue":"(1)","key":"2026040623332282600_ref258","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1162\/tacl_a_00299","article-title":"\u201cMembership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?\u201d","volume":"8","author":"Hisamoto","year":"(2020)","journal-title":"Transactions of the Association for Computational Linguistics"},{"issue":"(1)","key":"2026040623332282600_ref261","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/1500000051","article-title":"\u201cOnline Evaluation for Information Retrieval\u201d","volume":"10","author":"Hofmann","year":"(2016)","journal-title":"Foundations and Trends in Information Retrieval"},{"issue":"(1)","key":"2026040623332282600_ref262","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s10791-012-9197-9","article-title":"\u201cBalancing Exploration and Exploitation in Listwise and Pairwise Online Learning to Rank for Information Retrieval\u201d","volume":"16","author":"Hofmann","year":"(2013)","journal-title":"Information Retrieval"},{"key":"2026040623332282600_ref263","first-page":"629","article-title":"\u201cTowards Linking Buyers and Sellers: Detecting Commercial Intent on Twitter\u201d","volume-title":"Proceedings of Web Conference","author":"Hollerit","year":"(2013)"},{"key":"2026040623332282600_ref264","doi-asserted-by":"crossref","DOI":"10.1002\/9781118548387","volume-title":"Applied Logistic Regression","author":"Hosmer Jr","year":"(2013)"},{"key":"2026040623332282600_ref265","first-page":"20179","article-title":"\u201cA Simple Language Model for Task-Oriented Dialogue\u201d","volume-title":"Proceedings of NIPS","author":"Hosseini-Asl","year":"(2020)"},{"key":"2026040623332282600_ref266","first-page":"3948","article-title":"\u201cDeep Context Interest Network for Click-Through Rate Prediction\u201d","volume-title":"Proceedings of CIKM","author":"Hou","year":"(2023)"},{"key":"2026040623332282600_ref267","first-page":"191","article-title":"\u201cConversion Prediction with Delayed Feedback: A Multi-task Learning Approach\u201d","volume-title":"Proceedings of ICDM","author":"Hou","year":"(2021)"},{"key":"2026040623332282600_ref268","article-title":"\u201cEmotionLines: An Emotion Corpus of Multi-Party Conversations\u201d","volume-title":"Proceedings of LREC","author":"Hsu","year":"(2018)"},{"key":"2026040623332282600_ref269","first-page":"2042","article-title":"\u201cConvolutional Neural Network Architectures for Matching Natural Language Sentences\u201d","volume-title":"Proceedings of NIPS","author":"Hu","year":"(2014)"},{"key":"2026040623332282600_ref270","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-68121-4_18","article-title":"\u201cPlaylist Recommendation Based on Reinforcement Learning\u201d","volume-title":"Proceedings of ICIS","author":"Hu","year":"(2017)"},{"key":"2026040623332282600_ref271","first-page":"1531","article-title":"\u201cLeveraging Meta-Path Based Context for Top-N Recommendation with a Neural Co-Attention Model\u201d","volume-title":"Proceedings of KDD","author":"Hu","year":"(2018)"},{"key":"2026040623332282600_ref272","first-page":"1491","article-title":"\u201cSets2Sets: Learning from Sequential Sets with Neural Networks\u201d","volume-title":"Proceedings of KDD","author":"Hu","year":"(2019)"},{"key":"2026040623332282600_ref273","first-page":"1071","article-title":"\u201cModeling Personalized Item Frequency Information for Next-basket Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Hu","year":"(2020)"},{"key":"2026040623332282600_ref274","article-title":"\u201cQuery Transformation for Multi-lingual Product Search\u201d","volume-title":"Proceedings of SIGIR","author":"Hu","year":"(2020)"},{"key":"2026040623332282600_ref275","first-page":"368","article-title":"\u201cReinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application\u201d","volume-title":"Proceedings of KDD","author":"Hu","year":"(2018)"},{"key":"2026040623332282600_ref276","first-page":"525","article-title":"\u201cLearning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems\u201d","volume-title":"Proceedings of CIKM","author":"Hua","year":"(2020)"},{"key":"2026040623332282600_ref277","first-page":"2613","article-title":"\u201cOnline Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics\u201d","volume-title":"Proceedings of KDD","author":"Huang","year":"(2019)"},{"key":"2026040623332282600_ref278","first-page":"49","article-title":"\u201cAutomatic Dialogue Generation with Expressed Emotions\u201d","volume-title":"Proceedings of ACL","author":"Huang","year":"(2018)"},{"key":"2026040623332282600_ref279","first-page":"1785","article-title":"\u201cA Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data\u201d","volume-title":"Proceedings of Web Conference","author":"Huang","year":"(2018)"},{"key":"2026040623332282600_ref280","first-page":"381","article-title":"\u201cIt Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic\u201d","volume-title":"Proceedings of WSDM","author":"Huang","year":"(2022)"},{"key":"2026040623332282600_ref281","first-page":"2333","article-title":"\u201cLearning Deep Structured Semantic Models for Web Search Using Clickthrough Data\u201d","volume-title":"Proceedings of CIKM","author":"Huang","year":"(2013)"},{"key":"2026040623332282600_ref282","first-page":"227","article-title":"\u201cTencentrec: Real-time Stream Recommendation in Practice\u201d","volume-title":"Proceedings of SIGMOD","author":"Huang","year":"(2015)"},{"key":"2026040623332282600_ref283","first-page":"293","article-title":"\u201cWhat People Like in Mobile Finance Apps: An Analysis of User Reviews\u201d","volume-title":"Proceedings of MUM","author":"Huebner","year":"(2018)"},{"key":"2026040623332282600_ref284","article-title":"\u201cPolyencoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring\u201d","volume-title":"Proceedings of ICLR","author":"Humeau","year":"(2019)"},{"key":"2026040623332282600_ref285","article-title":"\u201cReinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology\u201d","author":"Ie","year":"(2019)","journal-title":"arXiv"},{"key":"2026040623332282600_ref286","doi-asserted-by":"crossref","DOI":"10.23919\/EUSIPCO.2019.8903002","article-title":"\u201cAutomatic Playlist Generation Using Convolutional Neural Networks and Recurrent Neural Networks\u201d","volume-title":"Proceedings of EUSIPCO","author":"Irene","year":"(2019)"},{"key":"2026040623332282600_ref287","first-page":"874","article-title":"\u201cLeveraging Passage Retrieval with Generative Models for Open Domain Question Answering\u201d","volume-title":"Proceedings of EACL","author":"Izacard","year":"(2021)"},{"key":"2026040623332282600_ref288","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1145\/3289600.3290958","article-title":"\u201cWhen People Change Their Mind: Off-policy Evaluation in Non-stationary Recommendation Environments\u201d","volume-title":"Proceedings of WSDM","author":"Jagerman","year":"(2019)"},{"key":"2026040623332282600_ref289","first-page":"732","article-title":"\u201cToo Much of Product Information: Don\u2019t Worry, Let\u2019s Look for Evidence!\u201d","volume-title":"Proceedings of EMNLP","author":"Jain","year":"(2023)"},{"key":"2026040623332282600_ref290","article-title":"\u201cInvestigating Personalized Search in E-Commerce\u201d","volume-title":"Proceedings of FLAIRS","author":"Jannach","year":"(2017)"},{"key":"2026040623332282600_ref291","first-page":"306","article-title":"\u201cWhen Recurrent Neural Networks Meet the Neighborhood for Session-Based Recommendation\u201d","volume-title":"Proceedings of RecSys","author":"Jannach","year":"(2017)"},{"issue":"(4)","key":"2026040623332282600_ref292","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1016\/j.ipm.2005.09.003","article-title":"\u201cThe Effectiveness of Web Search Engines for Retrieving Relevant Ecommerce Links\u201d","volume":"42","author":"Jansen","year":"(2006)","journal-title":"Information Processing & Management"},{"key":"2026040623332282600_ref293","first-page":"655","article-title":"\u201cInteractive Exploratory Search for Multi Page Search Results\u201d","volume-title":"Proceedings of Web Conference","author":"Jin","year":"(2013)"},{"key":"2026040623332282600_ref294","first-page":"1403","article-title":"\u201cExplicit State Tracking with Semi-Supervision for Neural Dialogue Generation\u201d","volume-title":"Proceedings of CIKM","author":"Jin","year":"(2018)"},{"issue":"(2)","key":"2026040623332282600_ref295","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1145\/1229179.1229181","article-title":"\u201cEvaluating the Accuracy of Implicit Feedback from Clicks and Query Reformulations in Web Search\u201d","volume":"25","author":"Joachims","year":"(2007)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref296","first-page":"1601","article-title":"\u201cTriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension\u201d","volume-title":"Proceedings of ACL","author":"Joshi","year":"(2017)"},{"key":"2026040623332282600_ref297","first-page":"169","article-title":"\u201cGrape: Knowledge Graph Enhanced Passage Reader for Open Domain Question Answering\u201d","volume-title":"Findings of EMNLP","author":"Ju","year":"(2022)"},{"key":"2026040623332282600_ref298","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1145\/2959100.2959134","article-title":"\u201cField-Aware Factorization Machines for CTR Prediction\u201d","volume-title":"Proceedings of RecSys","author":"Juan","year":"(2016)"},{"key":"2026040623332282600_ref299","first-page":"3484","article-title":"\u201cAttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue\u201d","volume-title":"Proceedings of EMNLP","author":"Jung","year":"(2020)"},{"key":"2026040623332282600_ref300","volume-title":"Speech & Language Processing","author":"Jurafsky","year":"(2000)"},{"key":"2026040623332282600_ref301","article-title":"\u201cReal User Evaluation of Spoken Dialogue Systems Using Amazon Mechanical Turk\u201d","volume-title":"Proceedings of INTERSPEECH","author":"Jurcicek","year":"(2011)"},{"key":"2026040623332282600_ref302","first-page":"659","article-title":"\u201cFISM: Factored Item Similarity Models for Top-N Recommender Systems\u201d","volume-title":"Proceedings of KDD","author":"Kabbur","year":"(2013)"},{"key":"2026040623332282600_ref303","first-page":"306","article-title":"\u201cCombating Crowdsourced Review Manipulators: A Neighborhood-Based Approach\u201d","volume-title":"Proceedings of WSDM","author":"Kaghazgaran","year":"(2018)"},{"key":"2026040623332282600_ref304","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1145\/2254129.2254150","article-title":"\u201cMining Feature-Opinion Pairs and Their Reliability Scores from Web Opinion Sources\u201d","volume-title":"Proceedings of WIMS","author":"Kamal","year":"(2012)"},{"key":"2026040623332282600_ref305","first-page":"197","article-title":"\u201cSelf-Attentive Sequential Recommendation\u201d","volume-title":"Proceedings of ICDM","author":"Kang","year":"(2018)"},{"key":"2026040623332282600_ref306","article-title":"\u201cDo LLMs Understand User Preferences? Evaluating LLMs on User Rating Prediction\u201d","author":"Kang","year":"(2023)","journal-title":"arXiv preprint arXiv:2305.06474"},{"key":"2026040623332282600_ref307","first-page":"148","article-title":"\u201cOpen-domain Dialogue Generation: What We Can Do, Cannot Do, and Should Do Next\u201d","volume-title":"Proceedings of ConvAI","author":"Kann","year":"(2022)"},{"key":"2026040623332282600_ref308","article-title":"\u201cUser Profiling Trends, Techniques and Applications\u201d","author":"Kanoje","year":"(2015)","journal-title":"arXiv preprint arXiv:1503.07474"},{"key":"2026040623332282600_ref309","first-page":"475","article-title":"\u201cOn Application of Learning to Rank for E-Commerce Search\u201d","volume-title":"Proceedings of SIGIR","author":"Karmaker Santu","year":"(2017)"},{"key":"2026040623332282600_ref310","first-page":"6769","article-title":"\u201cDense Passage Retrieval for Open-Domain Question Answering\u201d","volume-title":"Proceedings of EMNLP","author":"Karpukhin","year":"(2020)"},{"key":"2026040623332282600_ref311","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1145\/502585.502627","article-title":"\u201cEvaluation of Item-Based Top-N Recommendation Algorithms\u201d","volume-title":"Proceedings of CIKM","author":"Karypis","year":"(2001)"},{"key":"2026040623332282600_ref312","first-page":"4246","article-title":"\u201cFiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering\u201d","volume-title":"Proceedings of EMNLP","author":"Kedia","year":"(2022)"},{"key":"2026040623332282600_ref313","article-title":"\u201cNeural Networks for Information Retrieval (NN4IR)\u201d","volume-title":"Proceedings of SIGIR","author":"Kenter","year":"(2017)"},{"key":"2026040623332282600_ref314","first-page":"4171","article-title":"\u201cBERT: Pretraining of Deep Bidirectional Transformers for Language Understanding\u201d","volume-title":"Proceedings of NAACL-HLT","author":"Kenton","year":"(2019)"},{"key":"2026040623332282600_ref315","first-page":"2447","article-title":"\u201cLearnings from a Retail Recommendation System on Billions of Interactions at bol.com\u201d","volume-title":"Proceedings of ICDE","author":"Kersbergen","year":"(2021)"},{"key":"2026040623332282600_ref316","article-title":"\u201cSequential Latent Knowledge Selection for Knowledge-Grounded Dialogue\u201d","volume-title":"Proceedings of ICLR","author":"Kim","year":"(2020)"},{"issue":"(2)","key":"2026040623332282600_ref317","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S0167-9236(02)00079-9","article-title":"\u201cCombination of Multiple Classifiers for the Customer\u2019s Purchase Behavior Prediction\u201d","volume":"34","author":"Kim","year":"(2003)","journal-title":"Decision Support Systems"},{"key":"2026040623332282600_ref318","doi-asserted-by":"crossref","DOI":"10.1145\/3267471.3267485","article-title":"\u201cTowards Seed-Free Music Playlist Generation: Enhancing Collaborative Filtering with Playlist Title Information\u201d","volume-title":"Proceedings of ACM Recommender Systems Challenge","author":"Kim","year":"(2018)"},{"key":"2026040623332282600_ref319","doi-asserted-by":"crossref","first-page":"9812","DOI":"10.1109\/ACCESS.2021.3049827","article-title":"\u201cDeep User Segment Interest Network Modeling for Click-through Rate Prediction of Online Advertising\u201d","volume":"9","author":"Kim","year":"(2021)","journal-title":"IEEE Access"},{"key":"2026040623332282600_ref320","first-page":"423","article-title":"\u201cAutomatically Assessing Review Helpfulness\u201d","volume-title":"Proceedings of EMNLP","author":"Kim","year":"(2006)"},{"key":"2026040623332282600_ref321","article-title":"\u201cAsk Me What You Need: Product Retrieval Using Knowledge from GPT-3\u201d","author":"Kim","year":"(2022)","journal-title":"arXiv preprint arXiv:2207.02516"},{"key":"2026040623332282600_ref322","first-page":"567","article-title":"\u201cEfficient Dialogue State Tracking by Selectively Overwriting Memory\u201d","volume-title":"Proceedings of ACL","author":"Kim","year":"(2020)"},{"key":"2026040623332282600_ref323","first-page":"297","article-title":"\u201cMismatch between Multi-turn Dialogue and Its Evaluation Metric in Dialogue State Tracking\u201d","volume-title":"Proceedings of ACL","author":"Kim","year":"(2022)"},{"key":"2026040623332282600_ref324","article-title":"\u201cAuto-Encoding Variational Bayes\u201d","volume-title":"Proceedings of ICLR","author":"Kingma","year":"(2014)"},{"key":"2026040623332282600_ref325","article-title":"\u201cAdam: A Method for Stochastic Optimization\u201d","volume-title":"Proceedings of ICLR","author":"Kingma","year":"(2015)"},{"key":"2026040623332282600_ref326","article-title":"\u201cSemi-Supervised Classification with Graph Convolutional Networks\u201d","volume-title":"Proceedings of ICLR","author":"Kipf","year":"(2017)"},{"key":"2026040623332282600_ref327","article-title":"\u201cBeyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerce Recommendations\u201d","author":"Kiseleva","year":"(2016)","journal-title":"arXiv preprint arXiv:1607.07904"},{"key":"2026040623332282600_ref328","volume-title":"Logistic Regression","author":"Kleinbaum","year":"(2002)"},{"issue":"(3)","key":"2026040623332282600_ref329","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1145\/245108.245126","article-title":"\u201cGroupLens: Applying Collaborative Filtering to Usenet News\u201d","volume":"40","author":"Konstan","year":"(1997)","journal-title":"Communications of the ACM"},{"key":"2026040623332282600_ref330","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1145\/2835776.2835831","article-title":"\u201cPortrait of an Online Shopper: Understanding and Predicting Consumer Behavior\u201d","volume-title":"Proceedings of WSDM","author":"Kooti","year":"(2016)"},{"key":"2026040623332282600_ref331","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1145\/1401890.1401944","article-title":"\u201cFactorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model\u201d","volume-title":"Proceedings of KDD","author":"Koren","year":"(2008)"},{"key":"2026040623332282600_ref332","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1145\/1557019.1557072","article-title":"\u201cCollaborative Filtering with Temporal Dynamics\u201d","volume-title":"Proceedings of KDD","author":"Koren","year":"(2009)"},{"issue":"(8)","key":"2026040623332282600_ref333","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MC.2009.263","article-title":"\u201cMatrix Factorization Techniques for Recommender Systems\u201d","volume":"42","author":"Koren","year":"(2009)","journal-title":"Computer"},{"key":"2026040623332282600_ref334","first-page":"137","article-title":"\u201cA Methodology for Learning, Analyzing, and Mitigating Social Influence Bias in Recommender Systems\u201d","volume-title":"Proceedings of RecSys","author":"Krishnan","year":"(2014)"},{"key":"2026040623332282600_ref335","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1145\/345508.345615","article-title":"\u201cGeneration of User Profiles for Information Filtering \u2014 Research Agenda\u201d","volume-title":"Proceedings of SIGIR","author":"Kuflik","year":"(2000)"},{"key":"2026040623332282600_ref336","first-page":"8107","article-title":"\u201cMA-DST: Multi-Attention-Based Scalable Dialog State Tracking\u201d","volume-title":"Proceedings of AAAI","author":"Kumar","year":"(2020)"},{"key":"2026040623332282600_ref337","first-page":"342","article-title":"\u201cWeb Search of Fashion Items with Multimodal Querying\u201d","volume-title":"Proceedings of WSDM","author":"Laenen","year":"(2018)"},{"key":"2026040623332282600_ref338","first-page":"781","article-title":"\u201cTutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce\u201d","volume-title":"Proceedings of WSDM","author":"Lalmas","year":"(2018)"},{"key":"2026040623332282600_ref339","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/S0167-6393(99)00067-9","article-title":"\u201cThe LIMSI ARISE System\u201d","volume":"31","author":"Lamel","year":"(2000)","journal-title":"Speech Communication"},{"key":"2026040623332282600_ref340","first-page":"2808","article-title":"\u201cCorrelation-Sensitive Next-Basket Recommendation\u201d","volume-title":"Proceedings of IJCAI","author":"Le","year":"(2019)"},{"key":"2026040623332282600_ref341","first-page":"13","article-title":"\u201cCVTE SLU: A Hybrid System for Command Understanding Task Oriented to the Music Field\u201d","volume-title":"Proceedings of CCKS","author":"Le","year":"(2018)"},{"key":"2026040623332282600_ref342","volume-title":"Search Engine Optimization Bible","author":"Ledford","year":"(2015)"},{"key":"2026040623332282600_ref343","first-page":"4937","article-title":"\u201cDialogue State Tracking with a Language Model using Schema-Driven Prompting\u201d","volume-title":"Proceedings of EMNLP","author":"Lee","year":"(2021)"},{"issue":"(1-2)","key":"2026040623332282600_ref344","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1023\/A:1009843912662","article-title":"\u201cVisualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising\u201d","volume":"5","author":"Lee","year":"(2001)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"2026040623332282600_ref345","first-page":"6086","article-title":"\u201cLatent Retrieval for Weakly Supervised Open Domain Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Lee","year":"(2019)"},{"key":"2026040623332282600_ref346","first-page":"768","article-title":"\u201cEstimating Conversion Rate in Display Advertising from Past Performance Data\u201d","volume-title":"Proceedings of KDD","author":"Lee","year":"(2012)"},{"key":"2026040623332282600_ref347","first-page":"442","article-title":"\u201cStructured Discriminative Model for Dialog State Tracking\u201d","volume-title":"Proceedings of SIGDIAL","author":"Lee","year":"(2013)"},{"key":"2026040623332282600_ref348","first-page":"414","article-title":"\u201cRecipe for Building Robust Spoken Dialog State Trackers: Dialog State Tracking Challenge System Description\u201d","volume-title":"Proceedings of SIGDIAL","author":"Lee","year":"(2013)"},{"issue":"(4)","key":"2026040623332282600_ref349","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1016\/j.eswa.2013.08.071","article-title":"\u201cAn Impact of Online Recommendation Network on Demand\u201d","volume":"41","author":"Leem","year":"(2014)","journal-title":"Expert Systems with Applications"},{"key":"2026040623332282600_ref350","first-page":"164","article-title":"\u201cModels of User Engagement\u201d","volume-title":"Proceedings of UMAP","author":"Lehmann","year":"(2012)"},{"key":"2026040623332282600_ref351","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1145\/3336191.3371769","article-title":"\u201cEstimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems\u201d","volume-title":"Proceedings of WSDM","author":"Lei","year":"(2020)"},{"key":"2026040623332282600_ref352","first-page":"1437","article-title":"\u201cSequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures\u201d","volume-title":"Proceedings of ACL","author":"Lei","year":"(2018)"},{"key":"2026040623332282600_ref353","first-page":"2073","article-title":"\u201cInteractive Path Reasoning on Graph for Conversational Recommendation\u201d","volume-title":"Proceedings of KDD","author":"Lei","year":"(2020)"},{"key":"2026040623332282600_ref354","first-page":"638","article-title":"\u201cRecurrent Convolution Basket Map for Diversity Next-Basket Recommendation\u201d","volume-title":"Proceedings of DASFAA","author":"Leng","year":"(2020)"},{"key":"2026040623332282600_ref355","first-page":"1000","article-title":"\u201cQuestion and Answer Test-train Overlap in Open-domain Question Answering Datasets\u201d","volume-title":"Proceedings of ACL","author":"Lewis","year":"(2021)"},{"key":"2026040623332282600_ref356","first-page":"327","article-title":"\u201cTowards a Theory Model for Product Search\u201d","volume-title":"Proceedings of Web Conference","author":"Li","year":"(2011)"},{"key":"2026040623332282600_ref357","first-page":"2615","article-title":"\u201cMulti-Interest Network with Dynamic Routing for Recommendation at Tmall\u201d","volume-title":"Proceedings of CIKM","author":"Li","year":"(2019)"},{"key":"2026040623332282600_ref358","first-page":"737","article-title":"\u201cAnswering Opinion Questions with Random Walks on Graphs\u201d","volume-title":"Proceedings of ACL","author":"Li","year":"(2009)"},{"key":"2026040623332282600_ref359","first-page":"1915","article-title":"\u201cFollow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback\u201d","volume-title":"Proceedings of SIGIR","author":"Li","year":"(2021)"},{"key":"2026040623332282600_ref360","first-page":"562","article-title":"\u201cUnsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training\u201d","volume-title":"Proceedings of WSDM","author":"Li","year":"(2022)"},{"key":"2026040623332282600_ref361","first-page":"9","article-title":"\u201cThe Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform\u201d","volume-title":"Proceedings of IMCI","author":"Li","year":"(2018)"},{"key":"2026040623332282600_ref362","first-page":"1419","article-title":"\u201cNeural Attentive Session-based Recommendation\u201d","volume-title":"Proceedings of CIKM","author":"Li","year":"(2017)"},{"key":"2026040623332282600_ref363","first-page":"678","article-title":"\u201cA Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Li","year":"(2018)"},{"key":"2026040623332282600_ref364","first-page":"110","article-title":"\u201cA Diversity-Promoting Objective Function for Neural Conversation Models\u201d","volume-title":"Proceedings of NAACL","author":"Li","year":"(2016)"},{"key":"2026040623332282600_ref365","first-page":"994","article-title":"\u201cA Persona-Based Neural Conversation Model\u201d","volume-title":"Proceedings of ACL","author":"Li","year":"(2016)"},{"issue":"(2)","key":"2026040623332282600_ref366","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1007\/s10791-019-09360-1","article-title":"\u201cDeep Cross-platform Product Matching in E-commerce\u201d","volume":"23","author":"Li","year":"(2020)","journal-title":"Information Retrieval Journal"},{"key":"2026040623332282600_ref367","first-page":"925","article-title":"\u201cDocument-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings\u201d","volume-title":"Proceedings of COLING","author":"Li","year":"(2018)"},{"key":"2026040623332282600_ref368","first-page":"4492","article-title":"\u201cPretrained Language Models for Text Generation: A Survey\u201d","volume-title":"Proceedings of IJCAI","author":"Li","year":"(2021)"},{"key":"2026040623332282600_ref369","first-page":"37","article-title":"\u201cToward Predicting the Outcome of an A\/B Experiment for Search Relevance\u201d","volume-title":"Proceedings of WSDM","author":"Li","year":"(2015)"},{"key":"2026040623332282600_ref370","article-title":"\u201cZero-Resource Knowledge-Grounded Dialogue Generation\u201d","volume-title":"Proceedings of NIPS","author":"Li","year":"(2020)"},{"key":"2026040623332282600_ref371","doi-asserted-by":"crossref","DOI":"10.1145\/3595384","article-title":"\u201cWho Will Purchase this Item Next? Reverse Next Period Recommendation in Grocery Shopping\u201d","author":"Li","year":"(2023)","journal-title":"ACM Transactions on Recommender Systems"},{"issue":"(4)","key":"2026040623332282600_ref372","article-title":"\u201cA Next Basket Recommendation Reality Check\u201d","volume":"41","author":"Li","year":"(2023)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref373","first-page":"1006","article-title":"\u201cPersona-Aware Tips Generation?\u201d","volume-title":"Proceedings of Web Conference","author":"Li","year":"(2019)"},{"key":"2026040623332282600_ref375","first-page":"345","article-title":"\u201cNeural Rating Regression with Abstractive Tips Generation for Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Li","year":"(2017)"},{"key":"2026040623332282600_ref376","first-page":"4454","article-title":"\u201cEmpDG: Multi-resolution Interactive Empathetic Dialogue Generation\u201d","volume-title":"Proceedings of COLING","author":"Li","year":"(2020)"},{"key":"2026040623332282600_ref377","article-title":"\u201cEmpathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling\u201d","volume-title":"Proceedings of AAAI","author":"Li","year":"(2022)"},{"key":"2026040623332282600_ref378","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1145\/3437963.3441804","article-title":"\u201cAbstractive Opinion Tagging\u201d","volume-title":"Proceedings of WSDM","author":"Li","year":"(2021)"},{"key":"2026040623332282600_ref379","first-page":"10993","article-title":"\u201cKnowledge Bridging for Empathetic Dialogue Generation\u201d","volume-title":"Proceedings of AAAI","author":"Li","year":"(2022)"},{"key":"2026040623332282600_ref380","first-page":"9748","article-title":"\u201cTowards Deep Conversational Recommendations\u201d","volume-title":"Proceedings of NIPS","author":"Li","year":"(2018)"},{"key":"2026040623332282600_ref381","first-page":"1383","article-title":"\u201cFrom Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-Commerce Search\u201d","volume-title":"Proceedings of SIGIR","author":"Li","year":"(2019)"},{"issue":"(4)","key":"2026040623332282600_ref382","first-page":"1","article-title":"\u201cSeamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users\u201d","volume":"39","author":"Li","year":"(2021)","journal-title":"ACM Transactions on Information Systems"},{"issue":"(2)","key":"2026040623332282600_ref383","first-page":"172","article-title":"\u201cThe Effect of Online Reviews on Product Sales: A Joint Sentiment-topic Analysis\u201d","volume":"56","author":"Li","year":"(2018)","journal-title":"Information & Management"},{"key":"2026040623332282600_ref384","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3115\/1118845.1118850","article-title":"\u201cLearning Question Classifiers\u201d","volume-title":"Proceedings of COLING","author":"Li","year":"(2002)"},{"key":"2026040623332282600_ref385","first-page":"2241","article-title":"\u201cGeneration and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration\u201d","volume-title":"Proceedings of EMNLP","author":"Li","year":"(2021)"},{"key":"2026040623332282600_ref386","first-page":"986","article-title":"\u201cDailyDialog: A Manually Labelled Multi-turn Dialogue Dataset\u201d","volume-title":"Proceedings of IJCNLP","author":"Li","year":"(2017)"},{"key":"2026040623332282600_ref387","doi-asserted-by":"crossref","unstructured":"Li\n              Y.\n            \n            \n              Yang\n              N.\n            \n            \n              Wang\n              L.\n            \n            \n              Wei\n              F.\n            \n            \n              Li\n              W.\n            \n          \n          (2023c)\n          \u201cMultiview Identifiers Enhanced Generative Retrieval\u201d\n          arXiv preprint arXiv:2305.16675","DOI":"10.18653\/v1\/2023.acl-long.366"},{"key":"2026040623332282600_ref388","first-page":"8716","article-title":"\u201cLearning to Rank in Generative Retrieval\u201d","volume-title":"Proceedings of AAAI","author":"Li","year":"(2024)"},{"key":"2026040623332282600_ref389","first-page":"12","article-title":"\u201cIncremental Transformer with Deliberation Decoder for Document Grounded Conversations\u201d","volume-title":"Proceedings of ACL","author":"Li","year":"(2019)"},{"key":"2026040623332282600_ref390","unstructured":"Lian\n              J.\n            \n            \n              Batal\n              I.\n            \n            \n              Liu\n              Z.\n            \n            \n              Soni\n              A.\n            \n            \n              Kang\n              E. Y.\n            \n            \n              Wang\n              Y.\n            \n            \n              Xie\n              X.\n            \n          \n          (2021)\n          \u201cMulti-Interest-Aware User Modeling for Large-Scale Sequential Recommendations\u201d\n          arXiv preprint arXiv:2102.09211"},{"key":"2026040623332282600_ref391","first-page":"1754","article-title":"\u201cxDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems\u201d","volume-title":"Proceedings of KDD","author":"Lian","year":"(2018)"},{"key":"2026040623332282600_ref392","doi-asserted-by":"crossref","DOI":"10.24963\/ijcai.2019\/706","article-title":"\u201cLearning to Select Knowledge for Response Generation in Dialog Systems\u201d","volume-title":"Proceedings of IJCAI","author":"Lian","year":"(2019)"},{"key":"2026040623332282600_ref393","first-page":"951","article-title":"\u201cModeling User Exposure in Recommendation\u201d","volume-title":"Proceedings of Web Conference","author":"Liang","year":"(2016)"},{"key":"2026040623332282600_ref394","first-page":"689","article-title":"\u201cVariational Autoencoders for Collaborative Filtering\u201d","volume-title":"Proceedings of Web Conference","author":"Liang","year":"(2018)"},{"issue":"(1)","key":"2026040623332282600_ref395","first-page":"1","article-title":"\u201cInferring Dynamic User Interests in Streams of Short Texts for User Clustering\u201d","volume":"36","author":"Liang","year":"(2017)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref396","first-page":"1764","article-title":"\u201cDynamic Embeddings for User Profiling in Twitter\u201d","volume-title":"Proceedings of KDD","author":"Liang","year":"(2018)"},{"issue":"(2)","key":"2026040623332282600_ref397","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/10864415.2016.1087823","article-title":"\u201cWhat in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment Analysis Approach\u201d","volume":"20","author":"Liang","year":"(2015)","journal-title":"International Journal of Electronic Commerce"},{"key":"2026040623332282600_ref398","first-page":"8327","article-title":"\u201cMOSS: End-to-End Dialog System Framework with Modular Supervision\u201d","volume-title":"Proceedings of AAAI","author":"Liang","year":"(2020)"},{"key":"2026040623332282600_ref399","first-page":"1571","article-title":"\u201cInterpretable Multimodal Retrieval for Fashion Products\u201d","volume-title":"Proceedings of MM","author":"Liao","year":"(2018)"},{"key":"2026040623332282600_ref400","first-page":"2568","article-title":"\u201cMulti-Domain Dialogue State Tracking with Recursive Inference\u201d","volume-title":"Proceedings of Web Conference","author":"Liao","year":"(2021)"},{"key":"2026040623332282600_ref401","first-page":"591","article-title":"\u201cDJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation\u201d","volume-title":"Proceedings of AAMAS","author":"Liebman","year":"(2015)"},{"key":"2026040623332282600_ref402","first-page":"523","article-title":"\u201cThe Role of Information Retrieval in Answering Complex Questions\u201d","volume-title":"Proceedings of COLING","author":"Lin","year":"(2006)"},{"issue":"(4)","key":"2026040623332282600_ref403","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-3-031-02181-7","article-title":"\u201cPretrained Transformers for Text Ranking: BERT and Beyond\u201d","volume":"14","author":"Lin","year":"(2021)","journal-title":"Synthesis Lectures on Human Language Technologies"},{"key":"2026040623332282600_ref404","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.emnlp-industry.28","article-title":"\u201cAutomatic Scene-based Topic Channel Construction System for E-Commerce\u201d","volume-title":"Proceedings of EMNLP","author":"Lin","year":"(2022)"},{"key":"2026040623332282600_ref405","first-page":"665","article-title":"\u201cDomain-Adaptive Pretraining Methods for Dialogue Understanding\u201d","volume-title":"Proceedings of ACL-IJCNLP","author":"Lin","year":"(2021)"},{"key":"2026040623332282600_ref406","first-page":"7871","article-title":"\u201cKnowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking\u201d","volume-title":"Proceedings of EMNLP","author":"Lin","year":"(2021)"},{"key":"2026040623332282600_ref407","first-page":"41","article-title":"\u201cGenerating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy\u201d","volume-title":"Proceedings of ACL","author":"Lin","year":"(2020)"},{"key":"2026040623332282600_ref408","first-page":"1736","article-title":"\u201cDenoising Distantly Supervised Open-Domain Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Lin","year":"(2018)"},{"key":"2026040623332282600_ref409","first-page":"7890","article-title":"\u201cZero-shot Dialogue State Tracking via Cross-task Transfer\u201d","volume-title":"Proceedings of EMNLP","author":"Lin","year":"(2021)"},{"key":"2026040623332282600_ref410","first-page":"5640","article-title":"\u201cLeveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking\u201d","volume-title":"Proceedings of NAACL-HLT","author":"Lin","year":"(2021)"},{"key":"2026040623332282600_ref411","first-page":"121","article-title":"\u201cMoEL: Mixture of Empathetic Listeners\u201d","volume-title":"Proceedings of EMNLP-IJCNLP","author":"Lin","year":"(2019)"},{"key":"2026040623332282600_ref412","first-page":"13622","article-title":"\u201cCAiRE: An End-to-End Empathetic Chatbot\u201d","volume-title":"Proceedings of AAAI","author":"Lin","year":"(2020)"},{"key":"2026040623332282600_ref413","first-page":"199","article-title":"\u201cAutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction\u201d","volume-title":"Proceedings of SIGIR","author":"Liu","year":"(2020)"},{"key":"2026040623332282600_ref414","first-page":"2636","article-title":"\u201cAutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction\u201d","volume-title":"Proceedings of KDD","author":"Liu","year":"(2020)"},{"issue":"(3)","key":"2026040623332282600_ref415","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1109\/TSMCC.2011.2136334","article-title":"\u201cMovie Rating and Review Summarization in Mobile Environment\u201d","volume":"42","author":"Liu","year":"(2012)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"2026040623332282600_ref416","first-page":"155","article-title":"\u201cRepeat Buyer Prediction for E-Commerce\u201d","volume-title":"Proceedings of KDD","author":"Liu","year":"(2016)"},{"key":"2026040623332282600_ref417","first-page":"1358","article-title":"\u201cUsing Argument-based Features to Predict and Analyse Review Helpfulness\u201d","volume-title":"Proceedings of EMNLP","author":"Liu","year":"(2017)"},{"key":"2026040623332282600_ref418","first-page":"7628","article-title":"\u201cConversational Query Rewriting with Self-Supervised Learning\u201d","volume-title":"Proceedings of ICASSP","author":"Liu","year":"(2021)"},{"key":"2026040623332282600_ref419","first-page":"2081","article-title":"\u201cEncoderMI: Membership inference against pre-trained encoders in contrastive learning\u201d","volume-title":"Proceedings of CCS","author":"Liu","year":"(2021)"},{"key":"2026040623332282600_ref420","first-page":"31","article-title":"\u201cPersonalized News Recommendation Based on Click Behavior\u201d","volume-title":"Proceedings of IUI","author":"Liu","year":"(2010)"},{"key":"2026040623332282600_ref421","first-page":"360","article-title":"\u201cA Category-aware Multi-interest Model for Personalized Product Search\u201d","volume-title":"Proceedings of Web Conference","author":"Liu","year":"(2022)"},{"key":"2026040623332282600_ref422","first-page":"5927","article-title":"\u201cMulti-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews\u201d","volume-title":"Proceedings of ACL","author":"Liu","year":"(2021)"},{"key":"2026040623332282600_ref423","first-page":"15","article-title":"\u201cAttentive Moment Retrieval in Videos\u201d","volume-title":"Proceedings of SIGIR","author":"Liu","year":"(2018)"},{"key":"2026040623332282600_ref424","first-page":"385","article-title":"\u201cRetrieving Non-Redundant Questions to Summarize a Product Review\u201d","volume-title":"Proceedings of SIGIR","author":"Liu","year":"(2016)"},{"key":"2026040623332282600_ref425","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1162\/tacl_a_00619","article-title":"\u201cPre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems\u201d","volume":"11","author":"Liu","year":"(2023)","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"2026040623332282600_ref426","first-page":"2301","article-title":"\u201cDomain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks\u201d","volume-title":"Proceedings of EMNLP","author":"Liu","year":"(2021)"},{"key":"2026040623332282600_ref427","first-page":"915","article-title":"\u201cStructural Relationship Representation Learning with Graph Embedding for Personalized Product Search\u201d","volume-title":"Proceedings of CIKM","author":"Liu","year":"(2020)"},{"key":"2026040623332282600_ref428","first-page":"1039","article-title":"\u201cMultimodal Pre-training with Self-distillation for Product Understanding in E-commerce\u201d","volume-title":"Proceedings of WSDM","author":"Liu","year":"(2023)"},{"key":"2026040623332282600_ref429","first-page":"1489","article-title":"\u201cKnowledge Diffusion for Neural Dialogue Generation\u201d","volume-title":"Proceedings of ACL","author":"Liu","year":"(2018)"},{"key":"2026040623332282600_ref430","unstructured":"Liu\n              X.\n            \n            \n              Li\n              Z.\n            \n            \n              Gao\n              Y.\n            \n            \n              Yang\n              J.\n            \n            \n              Cao\n              T.\n            \n            \n              Wang\n              Z.\n            \n            \n              Yin\n              B.\n            \n            \n              Song\n              Y.\n            \n          \n          (2023c)\n          \u201cEnhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns\u201d\n          arXiv preprint arXiv:2312.16199"},{"key":"2026040623332282600_ref431","first-page":"3429","article-title":"\u201cPretraining Representations of Multi-modal Multi-query E-commerce Search\u201d","volume-title":"Proceedings of KDD","author":"Liu","year":"(2022)"},{"key":"2026040623332282600_ref432","first-page":"5070","article-title":"\u201cHierarchical Transformers for Multi-Document Summarization\u201d","volume-title":"Proceedings of ACL","author":"Liu","year":"(2019)"},{"key":"2026040623332282600_ref433","first-page":"2621","article-title":"\u201cDecoupled Graph Convolution Network for Inferring Substitutable and Complementary Items\u201d","volume-title":"Proceedings of CIKM","author":"Liu","year":"(2020)"},{"key":"2026040623332282600_ref434","first-page":"4932","article-title":"\u201cDiversified Interactive Recommendation with Implicit Feedback\u201d","volume-title":"Proceedings of AAAI","author":"Liu","year":"(2020)"},{"key":"2026040623332282600_ref435","first-page":"471","article-title":"\u201cFew-Shot Node Classification on Attributed Networks with Graph Meta-Learning\u201d","volume-title":"Proceedings of SIGIR","author":"Liu","year":"(2022)"},{"key":"2026040623332282600_ref436","first-page":"1604","article-title":"\u201cKeywords Generation Improves E-Commerce Session-Based Recommendation\u201d","volume-title":"Proceedings of Web Conference","author":"Liu","year":"(2020)"},{"key":"2026040623332282600_ref437","first-page":"11","article-title":"\u201cCharacterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions\u201d","volume-title":"Proceedings of DPH","author":"Liu","year":"(2019)"},{"key":"2026040623332282600_ref438","doi-asserted-by":"crossref","unstructured":"Liu\n              Z.\n            \n            \n              Wang\n              H.\n            \n            \n              Niu\n              Z.-Y.\n            \n            \n              Wu\n              H.\n            \n            \n              Che\n              W.\n            \n            \n              Liu\n              T.\n            \n          \n          (2020g)\n          \u201cTowards Conversational Recommendation over Multi-Type Dialogs\u201d\n          arXiv preprint arXiv:2005.03954","DOI":"10.18653\/v1\/2020.acl-main.98"},{"key":"2026040623332282600_ref439","doi-asserted-by":"crossref","first-page":"224","DOI":"10.18653\/v1\/2022.ecnlp-1.26","article-title":"\u201cTowards Generalizeable Semantic Product Search by Text Similarity Pre-training on Search Click Logs\u201d","volume-title":"Proceedings of Fifth Workshop on e-Commerce and NLP","author":"Liu","year":"(2022)"},{"key":"2026040623332282600_ref440","first-page":"1782","article-title":"\u201cKnowledge Aware Conversation Generation with Reasoning on Augmented Graph\u201d","volume-title":"Proceedings of EMNLP","author":"Liu","year":"(2019)"},{"key":"2026040623332282600_ref441","first-page":"1569","article-title":"\u201cAlleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection\u201d","volume-title":"Proceedings of SIGIR","author":"Liu","year":"(2020)"},{"key":"2026040623332282600_ref442","first-page":"5638","article-title":"\u201cLearning to Ask Conversational Questions by Optimizing Levenshtein Distance\u201d","volume-title":"Proceedings of ACL","author":"Liu","year":"(2021)"},{"key":"2026040623332282600_ref443","first-page":"1317","article-title":"\u201cMulti-Stage Prompting for Knowledgeable Dialogue Generation\u201d","volume-title":"Proceedings of ACL","author":"Liu","year":"(2022)"},{"key":"2026040623332282600_ref444","first-page":"531","article-title":"\u201cUnderstanding Behaviors That Lead to Purchasing: A Case Study of Pinterest\u201d","volume-title":"Proceedings of KDD","author":"Lo","year":"(2016)"},{"key":"2026040623332282600_ref445","first-page":"146","article-title":"\u201cGraph-based Multilingual Product Retrieval in E-Commerce Search\u201d","volume-title":"Proceedings of NAACL-HLT","author":"Lu","year":"(2021)"},{"key":"2026040623332282600_ref446","first-page":"435","article-title":"\u201cBetween Clicks and Satisfaction: Study on Multi-phase User Preferences and Satisfaction for Online News Reading\u201d","volume-title":"Proceedings of SIGIR","author":"Lu","year":"(2018)"},{"key":"2026040623332282600_ref447","doi-asserted-by":"crossref","unstructured":"Lu\n              J.\n            \n            \n              Pergola\n              G.\n            \n            \n              Gui\n              L.\n            \n            \n              Li\n              B.\n            \n            \n              He\n              Y.\n            \n          \n          (2020)\n          \u201cCHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering\u201d\n          arXiv preprint arXiv:2011.00519","DOI":"10.18653\/v1\/2020.coling-main.229"},{"key":"2026040623332282600_ref448","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3124749.3124750","article-title":"\u201cA Practical Framework of Conversion Rate Prediction for Online Display Advertising\u201d","volume-title":"Proceedings of ADKDD","author":"Lu","year":"(2017)"},{"issue":"2","key":"2026040623332282600_ref449","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.datak.2006.01.010","article-title":"\u201cClustering E-commerce Search Engines based on their Search Interface Pages using WISE-Cluster\u201d","volume":"59","author":"Lu","year":"(2006)","journal-title":"Data & Knowledge Engineering"},{"key":"2026040623332282600_ref450","article-title":"\u201cA Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms\u201d","volume-title":"ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI","author":"Lucic","year":"(2021)"},{"key":"2026040623332282600_ref451","first-page":"1269","article-title":"\u201cDeep Critiquing for VAE-based Recommender Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Luo","year":"(2020)"},{"key":"2026040623332282600_ref452","first-page":"1603","article-title":"\u201cScalable Supervised Discrete Hashing for Large-Scale Search\u201d","volume-title":"Proceedings of Web Conference","author":"Luo","year":"(2018)"},{"key":"2026040623332282600_ref453","first-page":"311","article-title":"\u201cProduct Review Summarization from a Deeper Perspective\u201d","volume-title":"Proceedings of JCDL","author":"Ly","year":"(2011)"},{"key":"2026040623332282600_ref454","unstructured":"Ma\n              L.\n            \n            \n              Zhang\n              W.-N.\n            \n            \n              Li\n              M.\n            \n            \n              Liu\n              T.\n            \n          \n          (2020a)\n          \u201cA Survey of Document Grounded Dialogue Systems (DGDS)\u201d\n          arXiv preprint arXiv:2004.13818"},{"key":"2026040623332282600_ref455","first-page":"1358","article-title":"\u201cA Compare Aggregate Transformer for Understanding Document-grounded Dialogue\u201d","volume-title":"Proceedings of EMNLP","author":"Ma","year":"(2020)"},{"key":"2026040623332282600_ref456","first-page":"1839","article-title":"\u201cCR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation\u201d","volume-title":"Proceedings of EMNLP","author":"Ma","year":"(2021)"},{"key":"2026040623332282600_ref457","first-page":"1137","article-title":"\u201cEntire Space Multi-task Model: An Effective Approach for Estimating Post-click Conversion Rate\u201d","volume-title":"Proceedings of SIGIR","author":"Ma","year":"(2018)"},{"key":"2026040623332282600_ref458","first-page":"719","article-title":"\u201cStreaming Graph Neural Networks\u201d","volume-title":"Proceedings of SIGIR","author":"Ma","year":"(2020)"},{"key":"2026040623332282600_ref459","first-page":"2372","article-title":"\u201cLearning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems\u201d","volume-title":"Proceedings of EMNLP","author":"Madotto","year":"(2020)"},{"key":"2026040623332282600_ref460","first-page":"1468","article-title":"\u201cMem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems\u201d","volume-title":"Proceedings of ACL","author":"Madotto","year":"(2018)"},{"key":"2026040623332282600_ref461","first-page":"3495","article-title":"\u201cSemantic Retrieval at Walmart\u201d","volume-title":"Proceedings of KDD","author":"Magnani","year":"(2022)"},{"key":"2026040623332282600_ref462","first-page":"367","article-title":"\u201cNeural Product Retrieval at Walmart.com\u201d","volume-title":"Proceedings of Web Conference","author":"Magnani","year":"(2019)"},{"key":"2026040623332282600_ref463","first-page":"8968","article-title":"\u201cMIME: MIMicking Emotions for Empathetic Response Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Majumder","year":"(2020)"},{"issue":"(5)","key":"2026040623332282600_ref464","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1145\/22899.22903","article-title":"\u201cIntelligent Information Sharing Systems\u201d","volume":"30","author":"Malone","year":"(1987)","journal-title":"Communications of the ACM"},{"key":"2026040623332282600_ref465","article-title":"\u201cA Bayesian Approach to Conversational Recommendation Systems\u201d","volume-title":"AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems","author":"Mangili","year":"(2020)"},{"key":"2026040623332282600_ref466","author":"Manning","year":"(2008)"},{"key":"2026040623332282600_ref467","first-page":"263","article-title":"\u201cEstimating Credibility of User Clicks with Mouse Movement and Eye-Tracking Information\u201d","volume-title":"Proceedings of SIGIR","author":"Mao","year":"(2014)"},{"key":"2026040623332282600_ref468","article-title":"\u201cDeep Captioning with Multimodal Recurrent Neural Networks\u201d","volume-title":"Proceedings of ICLR","author":"Mao","year":"(2015)"},{"key":"2026040623332282600_ref469","first-page":"4089","article-title":"\u201cGeneration-augmented Retrieval for Open-domain Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Mao","year":"(2021)"},{"key":"2026040623332282600_ref470","first-page":"267","article-title":"\u201cCollaborative Filtering and the Missing at Random Assumption\u201d","volume-title":"Proceedings of UAI","author":"Marlin","year":"(2007)"},{"key":"2026040623332282600_ref471","first-page":"1551","article-title":"\u201cPrediction of Helpful Reviews Using Emotions Extraction\u201d","volume-title":"Proceedings of AAAI","author":"Martin","year":"(2014)"},{"key":"2026040623332282600_ref472","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1145\/2971648.2971760","article-title":"\u201cEngagement-Aware Computing: Modelling User Engagement from Mobile Contexts\u201d","volume-title":"Proceedings of UbiComp","author":"Mathur","year":"(2016)"},{"key":"2026040623332282600_ref473","first-page":"43","article-title":"\u201cImage-Based Recommendations on Styles and Substitutes\u201d","volume-title":"Proceedings of SIGIR","author":"McAuley","year":"(2015)"},{"key":"2026040623332282600_ref474","first-page":"625","article-title":"\u201cAddressing Complex and Subjective Product-Related Queries with Customer Reviews\u201d","volume-title":"Proceedings of Web Conference","author":"McAuley","year":"(2016)"},{"issue":"(3)","key":"2026040623332282600_ref475","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1109\/TAFFC.2014.2384198","article-title":"\u201cPredicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads\u201d","volume":"6","author":"McDuff","year":"(2015)","journal-title":"IEEE Transactions on Affective Computing"},{"key":"2026040623332282600_ref476","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1145\/1008992.1009050","article-title":"\u201cA Collaborative Filtering Algorithm and Evaluation Metric That Accurately Model the User Experience\u201d","volume-title":"Proceedings of SIGIR","author":"McLaughlin","year":"(2004)"},{"key":"2026040623332282600_ref477","first-page":"1256","article-title":"\u201cJointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations\u201d","volume-title":"Proceedings of Web Conference","author":"Mehrotra","year":"(2019)"},{"key":"2026040623332282600_ref478","first-page":"8496","article-title":"\u201cRefNet: A Reference-aware Network for Background Based Conversation\u201d","volume-title":"Proceedings of AAAI","author":"Meng","year":"(2020)"},{"key":"2026040623332282600_ref479","first-page":"522","article-title":"\u201cInitiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations\u201d","volume-title":"Proceedings of SIGIR","author":"Meng","year":"(2021)"},{"key":"2026040623332282600_ref480","first-page":"1151","article-title":"\u201cDukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation\u201d","volume-title":"Proceedings of SIGIR","author":"Meng","year":"(2020)"},{"key":"2026040623332282600_ref481","first-page":"1091","article-title":"\u201cIncorporating User Micro-Behaviors and Item Knowledge into Multi-Task Learning for Session-Based Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Meng","year":"(2020)"},{"key":"2026040623332282600_ref482","first-page":"1298","article-title":"\u201cA General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction\u201d","volume-title":"Proceedings of SIGIR","author":"Meng","year":"(2021)"},{"key":"2026040623332282600_ref483","first-page":"3771","article-title":"\u201cInvestigation of Recurrent-Neural-Network Architectures and Learning Methods for Spoken Language Understanding\u201d","volume-title":"Proceedings of Interspeech","author":"Mesnil","year":"(2013)"},{"issue":"(1)","key":"2026040623332282600_ref484","article-title":"\u201cMulti-modal Product Title Compression\u201d","volume":"57","author":"Miao","year":"(2020)","journal-title":"Information Processing & Management"},{"key":"2026040623332282600_ref485","doi-asserted-by":"crossref","first-page":"860","DOI":"10.18653\/v1\/S19-2149","article-title":"\u201cSemEval-2019 Task 8: Fact Checking in Community Question Answering Forums\u201d","volume-title":"Proceedings of the 13th International Workshop on Semantic Evaluation","author":"Mihaylova","year":"(2019)"},{"key":"2026040623332282600_ref486","article-title":"\u201cEfficient Estimation of Word Representations in Vector Space\u201d","volume-title":"Proceedings of ICLR","author":"Mikolov","year":"(2013)"},{"key":"2026040623332282600_ref487","first-page":"925","article-title":"\u201cDeriving Wishlists from Blogs: Show us your Blog, and We\u2019ll Tell you What Books to Buy\u201d","volume-title":"Proceedings of Web Conference","author":"Mishne","year":"(2006)"},{"key":"2026040623332282600_ref488","doi-asserted-by":"crossref","DOI":"10.1145\/1135777.1135947","article-title":"\u201cDeriving Wishlists from Blogs: Show us your Blog, and We\u2019ll Tell you What Books to Buy\u201d","volume-title":"Proceedings of Web Conference","author":"Mishne","year":"(2006)"},{"key":"2026040623332282600_ref489","first-page":"251","article-title":"\u201cYou Are Who You Know: Inferring User Profiles in Online Social Networks\u201d","volume-title":"Proceedings of WSDM","author":"Mislove","year":"(2010)"},{"key":"2026040623332282600_ref490","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/1500000061","article-title":"\u201cAn Introduction to Neural Information Retrieval\u201d","volume":"13","author":"Mitra","year":"(2017)","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"2026040623332282600_ref491","first-page":"1291","article-title":"\u201cLearning to Match Using Local and Distributed Representations of Text for Web Search\u201d","volume-title":"Proceedings of Web Conference","author":"Mitra","year":"(2017)"},{"key":"2026040623332282600_ref492","doi-asserted-by":"crossref","unstructured":"Mittal\n              H.\n            \n            \n              Chakrabarti\n              A.\n            \n            \n              Bayar\n              B.\n            \n            \n              Sharma\n              A. A.\n            \n            \n              Rasiwasia\n              N.\n            \n          \n          (2021)\n          \u201cDistantly Supervised Transformers For E-Commerce Product QA\u201d\n          arXiv preprint\n          arXiv:2104.02947","DOI":"10.18653\/v1\/2021.naacl-main.315"},{"key":"2026040623332282600_ref493","first-page":"2204","article-title":"\u201cRecurrent Models of Visual Attention\u201d","volume-title":"Proceedings of NIPS","author":"Mnih","year":"(2014)"},{"key":"2026040623332282600_ref494","first-page":"89","article-title":"\u201cAQA: Aspect-based Opinion Question Answering\u201d","volume-title":"Proceedings of ICDMW","author":"Moghaddam","year":"(2011)"},{"key":"2026040623332282600_ref495","first-page":"2322","article-title":"\u201cTowards Exploiting Background Knowledge for Building Conversation Systems\u201d","volume-title":"Proceedings of EMNLP","author":"Moghe","year":"(2018)"},{"key":"2026040623332282600_ref496","doi-asserted-by":"crossref","DOI":"10.1145\/3267471.3267484","article-title":"\u201cAn Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion\u201d","volume-title":"Proceedings of ACM Recommender Systems Challenge 2018","author":"Monti","year":"(2018)"},{"key":"2026040623332282600_ref497","first-page":"845","article-title":"\u201cOpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs\u201d","volume-title":"Proceedings of ACL","author":"Moon","year":"(2019)"},{"key":"2026040623332282600_ref498","first-page":"429","article-title":"\u201cControlling Fairness and Bias in Dynamic Learning-to-Rank\u201d","volume-title":"Proceedings of SIGIR","author":"Morik","year":"(2020)"},{"key":"2026040623332282600_ref499","first-page":"794","article-title":"\u201cMulti-domain Dialog State Tracking using Recurrent Neural Networks\u201d","volume-title":"Proceedings of ACL","author":"Mrk\u0161i\u0107","year":"(2015)"},{"key":"2026040623332282600_ref500","first-page":"1777","article-title":"\u201cNeural Belief Tracker: Data-Driven Dialogue State Tracking\u201d","volume-title":"Proceedings of ACL","author":"Mrk\u0161i\u0107","year":"(2017)"},{"key":"2026040623332282600_ref501","unstructured":"Mukherjee\n              S.\n            \n          \n          (2021)\n          \u201cUnsupervised Meta Learning for One Shot Title Compression in Voice Commerce\u201d\n          arXiv preprint\n          arXiv:2102.10760"},{"key":"2026040623332282600_ref502","unstructured":"Mukherjee\n              S.\n            \n            \n              Sayapaneni\n              P.\n            \n            \n              Subramanya\n              S.\n            \n          \n          (2020)\n          \u201cDiscriminative Pre-training for Low Resource Title Compression in Conversational Grocery\u201d\n          arXiv preprint\n          arXiv:2012.06943"},{"issue":"(2)","key":"2026040623332282600_ref503","first-page":"100","article-title":"\u201cTaking a Look at Different Types of E-commerce\u201d","volume":"1","author":"Nemat","year":"(2011)","journal-title":"World Applied Programming"},{"key":"2026040623332282600_ref504","first-page":"6861","article-title":"\u201cLearning Robust Models for E-Commerce Product Search\u201d","volume-title":"Proceedings of ACL","author":"Nguyen","year":"(2020)"},{"key":"2026040623332282600_ref505","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2022.emnlp-main.686","article-title":"\u201cAdaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions\u201d","volume-title":"Proceedings of EMNLP","author":"Nguyen","year":"(2022)"},{"key":"2026040623332282600_ref506","first-page":"783","article-title":"\u201cEstimating Reactions and Recommending Products with Generative Models of Reviews\u201d","volume-title":"Proceedings of IJCNLP","author":"Ni","year":"(2017)"},{"key":"2026040623332282600_ref507","first-page":"706","article-title":"\u201cPersonalized Review Generation by Expanding Phrases and Attending on Aspect-Aware Representations\u201d","volume-title":"Proceedings of ACL","author":"Ni","year":"(2018)"},{"key":"2026040623332282600_ref508","first-page":"3405","article-title":"\u201cA Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce\u201d","volume-title":"Proceedings of KDD","author":"Niu","year":"(2020)"},{"key":"2026040623332282600_ref509","unstructured":"Nogueira\n              R.\n            \n            \n              Yang\n              W.\n            \n            \n              Cho\n              K.\n            \n            \n              Lin\n              J.\n            \n          \n          (2019)\n          \u201cMulti-stage Document Ranking with BERT\u201d\n          arXiv preprint\n          arXiv:1910.14424"},{"key":"2026040623332282600_ref510","first-page":"781","article-title":"\u201cProduct Retrieval for Grocery Stores\u201d","volume-title":"Proceedings of SIGIR","author":"Nurmi","year":"(2008)"},{"issue":"(1)","key":"2026040623332282600_ref511","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1002\/asi.21229","article-title":"\u201cThe Development and Evaluation of a Survey to Measure User Engagement\u201d","volume":"61","author":"O\u2019Brien","year":"(2010)","journal-title":"Journal of the American Society for Information Science and Technology"},{"key":"2026040623332282600_ref512","first-page":"559","article-title":"\u201cLeveraging User Interaction Signals for Web Image Search\u201d","volume-title":"Proceedings of SIGIR","author":"O\u2019Hare","year":"(2016)"},{"key":"2026040623332282600_ref513","first-page":"123","article-title":"\u201cPredicting Response in Mobile Advertising with Hierarchical Importance-Aware Factorization Machine\u201d","volume-title":"Proceedings of WSDM","author":"Oentaryo","year":"(2014)"},{"issue":"(2-3)","key":"2026040623332282600_ref514","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s10791-017-9321-y","article-title":"\u201cNeural Information Retrieval: At the End of the Early Years\u201d","volume":"21","author":"Onal","year":"(2018)","journal-title":"Information Retrieval Journal"},{"key":"2026040623332282600_ref515","first-page":"6309","article-title":"\u201cNeural Discrete Representation Learning\u201d","volume-title":"Proceedings of NIPS","author":"Oord","year":"(2017)"},{"key":"2026040623332282600_ref516","first-page":"277","article-title":"\u201cBalancing Speed and Quality in Online Learning to Rank for Information Retrieval\u201d","volume-title":"Proceedings of CIKM","author":"Oosterhuis","year":"(2017)"},{"key":"2026040623332282600_ref517","first-page":"34","article-title":"\u201cDialogue State Tracking with Explicit Slot Connection Modeling\u201d","volume-title":"Proceedings of ACL","author":"Ouyang","year":"(2020)"},{"key":"2026040623332282600_ref518","first-page":"1863","article-title":"\u201cCorrecting for Selection Bias in Learning-to-Rank Systems\u201d","volume-title":"Proceedings of Web Conference","author":"Ovaisi","year":"(2020)"},{"key":"2026040623332282600_ref519","first-page":"351","article-title":"\u201cPASS: Perturb-and-Select Summarizer for Product Reviews\u201d","volume-title":"Proceedings of ACL","author":"Oved","year":"(2021)"},{"key":"2026040623332282600_ref520","first-page":"751","article-title":"\u201cCross-Domain Sentiment Classification via Spectral Feature Alignment\u201d","volume-title":"Proceedings of Web Conference","author":"Pan","year":"(2010)"},{"key":"2026040623332282600_ref521","doi-asserted-by":"crossref","first-page":"79","DOI":"10.3115\/1118693.1118704","article-title":"\u201cThumbs up? Sentiment Classification using Machine Learning Techniques\u201d","volume-title":"Proceedings of EMNLP","author":"Pang","year":"(2002)"},{"key":"2026040623332282600_ref522","first-page":"6875","article-title":"\u201cHASQA: Hierarchical Answer Spans Model for Open-Domain Question Answering\u201d","volume-title":"Proceedings of AAAI","author":"Pang","year":"(2019)"},{"key":"2026040623332282600_ref523","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10341","article-title":"\u201cText Matching as Image Recognition\u201d","volume-title":"Proceedings of AAAI","author":"Pang","year":"(2016)"},{"key":"2026040623332282600_ref524","article-title":"\u201cSemi-supervised Knowledge Transfer for Deep Learning from Private Training Data\u201d","volume-title":"Proceedings of ICLR","author":"Papernot","year":"(2016)"},{"key":"2026040623332282600_ref525","first-page":"393","article-title":"\u201cRetrieval of Relevant Opinion Sentences for New Products\u201d","volume-title":"Proceedings of SIGIR","author":"Park","year":"(2015)"},{"key":"2026040623332282600_ref526","first-page":"690","article-title":"\u201cExtending Neural Generative Conversational Model using External Knowledge Sources\u201d","volume-title":"Proceedings of EMNLP","author":"Parthasarathi","year":"(2018)"},{"issue":"(1)","key":"2026040623332282600_ref527","doi-asserted-by":"crossref","first-page":"115","DOI":"10.2307\/25148720","article-title":"\u201cUnderstanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior\u201d","volume":"30","author":"Pavlou","year":"(2006)","journal-title":"MIS Quarterly"},{"key":"2026040623332282600_ref528","first-page":"1","article-title":"\u201cIntermediate Training of BERT for Product Matching\u201d","volume-title":"Proceedings of CEUR Workshop","author":"Peeters","year":"(2020)"},{"key":"2026040623332282600_ref529","first-page":"3","article-title":"\u201cPersonalized Re-Ranking for Recommendation\u201d","volume-title":"Proceedings of RecSys","author":"Pei","year":"(2019)"},{"key":"2026040623332282600_ref530","first-page":"172","article-title":"\u201cFew-shot Natural Language Generation for Task-oriented Dialog\u201d","volume-title":"Proceedings of EMNLP","author":"Peng","year":"(2020)"},{"issue":"(1)","key":"2026040623332282600_ref531","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/00220670209598786","article-title":"\u201cAn Introduction to Logistic Regression Analysis and Reporting\u201d","volume":"96","author":"Peng","year":"(2002)","journal-title":"The Journal of Educational Research"},{"key":"2026040623332282600_ref532","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/E17-1029","article-title":"\u201cDialog State Tracking, A Machine Reading Approach Using Memory Network\u201d","volume-title":"Proceedings of EACL","author":"Perez","year":"(2017)"},{"key":"2026040623332282600_ref533","first-page":"701","article-title":"\u201cDeepWalk: Online Learning of Social Representations\u201d","volume-title":"Proceedings of KDD","author":"Perozzi","year":"(2014)"},{"key":"2026040623332282600_ref534","first-page":"2463","article-title":"\u201cLanguage Models as Knowledge Bases?\u201d","volume-title":"Proceedings of EMNLP","author":"Petroni","year":"(2019)"},{"key":"2026040623332282600_ref535","first-page":"2671","article-title":"\u201cPractice on Long Sequential User Behavior Modeling for Click-through Rate Prediction\u201d","volume-title":"Proceedings of KDD","author":"Pi","year":"(2019)"},{"key":"2026040623332282600_ref536","first-page":"486","article-title":"\u201cSemEval-2015 Task 12: Aspect Based Sentiment Analysis\u201d","volume-title":"Proceedings of SemEval","author":"Pontiki","year":"(2015)"},{"key":"2026040623332282600_ref537","first-page":"5427","article-title":"\u201cConversing by Reading: Contentful Neural Conversation with On-demand Machine Reading\u201d","volume-title":"Proceedings of ACL","author":"Qin","year":"(2019)"},{"key":"2026040623332282600_ref538","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/978-981-15-8884-6_4","volume-title":"Dual Learning","author":"Qin","year":"(2020)"},{"issue":"(4)","key":"2026040623332282600_ref539","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s10660-015-9191-6","article-title":"\u201cPredicting Customer Purchase Behavior in the E-commerce Context\u201d","volume":"15","author":"Qiu","year":"(2015)","journal-title":"Electronic Commerce Research"},{"key":"2026040623332282600_ref540","first-page":"1305","article-title":"\u201cConvolutional Neural Tensor Network Architecture for Community-Based Question Answering\u201d","volume-title":"Proceedings of IJCAI","author":"Qiu","year":"(2015)"},{"key":"2026040623332282600_ref541","first-page":"4424","article-title":"\u201cPre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search\u201d","volume-title":"Proceedings of CIKM","author":"Qiu","year":"(2022)"},{"key":"2026040623332282600_ref542","first-page":"4320","article-title":"\u201cU-BERT: Pre-training User Representations for Improved Recommendation\u201d","volume-title":"Proceedings of AAAI","author":"Qiu","year":"(2021)"},{"key":"2026040623332282600_ref543","first-page":"1104","article-title":"\u201cDynamic Modality Interaction Modeling for Image-text Retrieval\u201d","volume-title":"Proceedings of SIGIR","author":"Qu","year":"(2021)"},{"key":"2026040623332282600_ref544","first-page":"1149","article-title":"\u201cProduct-Based Neural Networks for User Response Prediction\u201d","volume-title":"Proceedings of ICDM","author":"Qu","year":"(2016)"},{"issue":"(1)","key":"2026040623332282600_ref545","first-page":"1","article-title":"\u201cProduct-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data\u201d","volume":"37","author":"Qu","year":"(2018)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref546","first-page":"130","article-title":"\u201cPersonalizing Session-Based Recommendations with Hierarchical Recurrent Neural Networks\u201d","volume-title":"Proceedings of RecSys","author":"Quadrana","year":"(2017)"},{"key":"2026040623332282600_ref547","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.eswa.2017.01.045","article-title":"\u201cMake It Personal: A Social Explanation System Applied to Group Recommendations\u201d","volume":"76","author":"Quijano-Sanchez","year":"(2017)","journal-title":"Expert Systems with Applications"},{"key":"2026040623332282600_ref548","article-title":"\u201cEvaluating Web-based Question Answering Systems\u201d","volume-title":"Proceedings of LREC","author":"Radev","year":"(2002)"},{"key":"2026040623332282600_ref549","article-title":"\u201cLearning to Generate Reviews and Discovering Sentiment\u201d","volume-title":"Proceedings of ICLR","author":"Radford","year":"(2018)"},{"key":"2026040623332282600_ref550","first-page":"117","article-title":"\u201cA Theoretical Framework for Conversational Search\u201d","volume-title":"Proceedings of CHIIR","author":"Radlinski","year":"(2017)"},{"key":"2026040623332282600_ref551","first-page":"784","article-title":"\u201cLearning Diverse Rankings with Multi-Armed Bandits\u201d","volume-title":"Proceedings of ICML","author":"Radlinski","year":"(2008)"},{"key":"2026040623332282600_ref552","first-page":"219","article-title":"\u201cAnalysis of Online User Behaviour for Art and Culture Events\u201d","volume-title":"Proceedings of International Cross-Domain Conference","author":"Rahdari","year":"(2017)"},{"key":"2026040623332282600_ref553","first-page":"2383","article-title":"\u201cSQuAD: 100,000+ Questions for Machine Comprehension of Text\u201d","volume-title":"Proceedings of EMNLP","author":"Rajpurkar","year":"(2016)"},{"key":"2026040623332282600_ref554","first-page":"432","article-title":"\u201cLarge-Scale Multi-Domain Belief Tracking with Knowledge Sharing\u201d","volume-title":"Proceedings of ACL","author":"Ramadan","year":"(2018)"},{"key":"2026040623332282600_ref555","article-title":"\u201cxFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs\u201d","volume-title":"arXiv preprint","author":"Rao","year":"(2020)"},{"key":"2026040623332282600_ref556","article-title":"\u201cI Know the Feeling: Learning to Converse with Empathy\u201d","volume-title":"CoRR","author":"Rashkin","year":"(2018)"},{"key":"2026040623332282600_ref557","first-page":"5370","article-title":"\u201cTowards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset\u201d","volume-title":"Proceedings of ACL","author":"Rashkin","year":"(2019)"},{"key":"2026040623332282600_ref558","first-page":"8689","article-title":"\u201cTowards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset\u201d","volume-title":"Proceedings of AAAI","author":"Rastogi","year":"(2020)"},{"key":"2026040623332282600_ref559","first-page":"1","article-title":"\u201cPredicting Click-Through Rate Using Keyword Clusters\u201d","volume-title":"Proceedings of Second Workshop on Sponsored Search Auctions","author":"Regelson","year":"(2006)"},{"key":"2026040623332282600_ref560","first-page":"457","article-title":"\u201cDialog State Tracking using Conditional Random Fields\u201d","volume-title":"Proceedings of SIGDIAL","author":"Ren","year":"(2013)"},{"key":"2026040623332282600_ref561","first-page":"565","article-title":"\u201cLifelong Sequential Modeling with Personalized Memorization for User Response Prediction\u201d","volume-title":"Proceedings of SIGIR","author":"Ren","year":"(2019)"},{"key":"2026040623332282600_ref562","first-page":"1876","article-title":"\u201cScalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation\u201d","volume-title":"Proceedings of EMNLP-IJCNLP","author":"Ren","year":"(2019)"},{"key":"2026040623332282600_ref563","first-page":"4806","article-title":"\u201cRepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation\u201d","volume-title":"Proceedings of AAAI","author":"Ren","year":"(2019)"},{"key":"2026040623332282600_ref564","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v34i05.6395","article-title":"\u201cThinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation\u201d","volume-title":"Proceedings of AAAI","author":"Ren","year":"(2020)"},{"key":"2026040623332282600_ref565","first-page":"95","article-title":"\u201cLeveraging Contextual Sentence Relations for Extractive Summarization using a Neural Attention Model\u201d","volume-title":"Proceedings of SIGIR","author":"Ren","year":"(2017)"},{"key":"2026040623332282600_ref566","doi-asserted-by":"crossref","DOI":"10.1145\/3404835.3462897","article-title":"\u201cWizard of Search Engine: Access to Information Through Conversations with Search Engines\u201d","volume-title":"arXiv preprint","author":"Ren","year":"(2021)"},{"key":"2026040623332282600_ref567","first-page":"1379","article-title":"\u201cInformation Discovery in E-commerce: Half-day SIGIR 2018 Tutorial\u201d","volume-title":"Proceedings of SIGIR","author":"Ren","year":"(2018)"},{"key":"2026040623332282600_ref568","first-page":"165","article-title":"\u201cVariational Reasoning about User Preferences for Conversational Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Ren","year":"(2022)"},{"key":"2026040623332282600_ref569","first-page":"995","article-title":"\u201cFactorization Machines\u201d","volume-title":"Proceedings of ICDM","author":"Rendle","year":"(2010)"},{"key":"2026040623332282600_ref570","first-page":"811","article-title":"\u201cFactorizing Personalized Markov Chains for Next-basket Recommendation\u201d","volume-title":"Proceedings of Web Conference","author":"Rendle","year":"(2010)"},{"key":"2026040623332282600_ref571","first-page":"81","article-title":"\u201cPairwise Interaction Tensor Factorization for Personalized Tag Recommendation\u201d","volume-title":"Proceedings of WSDM","author":"Rendle","year":"(2010)"},{"key":"2026040623332282600_ref572","first-page":"175","article-title":"\u201cGroupLens: An Open Architecture for Collaborative Filtering of Netnews\u201d","volume-title":"Proceedings of CSCW","author":"Resnick","year":"(1994)"},{"key":"2026040623332282600_ref573","first-page":"521","article-title":"\u201cPredicting Clicks: Estimating the Click-through Rate for New Ads\u201d","volume-title":"Proceedings of Web Conference","author":"Richardson","year":"(2007)"},{"key":"2026040623332282600_ref574","first-page":"583","article-title":"\u201cData-Driven Response Generation in Social Media\u201d","volume-title":"Proceedings of EMNLP","author":"Ritter","year":"(2011)"},{"key":"2026040623332282600_ref575","first-page":"5418","article-title":"\u201cHow Much Knowledge Can You Pack into the Parameters of a Language Model?\u201d","volume-title":"Proceedings of EMNLP","author":"Roberts","year":"(2020)"},{"issue":"2","key":"2026040623332282600_ref576","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1145\/3458553.3458556","article-title":"\u201cFACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval\u201d","volume":"53","author":"Roegiest","year":"(2019)","journal-title":"SIGIR Forum"},{"key":"2026040623332282600_ref577","first-page":"300","article-title":"\u201cRecipes for Building an Open-Domain Chatbot\u201d","volume-title":"Proceedings of EACL","author":"Roller","year":"(2021)"},{"key":"2026040623332282600_ref578","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1145\/2124295.2124333","article-title":"\u201cPost-Click Conversion Modeling and Analysis for Non-Guaranteed Delivery Display Advertising\u201d","volume-title":"Proceedings of WSDM","author":"Rosales","year":"(2012)"},{"issue":"1","key":"2026040623332282600_ref579","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1108\/07363760010309528","article-title":"\u201cProduct Search in E-shopping: A Review and Research Propositions\u201d","volume":"17","author":"Rowley","year":"(2000)","journal-title":"Journal of Consumer Marketing"},{"key":"2026040623332282600_ref580","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2021.naacl-main.23","article-title":"\u201cAnswering Product-Questions by Utilizing Questions from Other Contextually Similar Products\u201d","volume-title":"arXiv preprint","author":"Rozen","year":"(2021)"},{"issue":"5","key":"2026040623332282600_ref581","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1016\/j.ipm.2014.04.007","article-title":"\u201cOpen Domain Question Answering Using Wikipedia-based Knowledge Model\u201d","volume":"50","author":"Ryu","year":"(2014)","journal-title":"Information Processing & Management"},{"key":"2026040623332282600_ref582","first-page":"6","volume-title":"Online Learning","author":"Saad","year":"(1998)"},{"key":"2026040623332282600_ref583","first-page":"11229","article-title":"\u201cCEM: Commonsense-Aware Empathetic Response Generation\u201d","volume-title":"Proceedings of AAAI","author":"Sabour","year":"(2022)"},{"key":"2026040623332282600_ref584","first-page":"6648","article-title":"\u201cEnd-to-end Training of Neural Retrievers for Open-domain Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Sachan","year":"(2021)"},{"key":"2026040623332282600_ref585","first-page":"942","article-title":"\u201cMusic Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map\u201d","volume-title":"Proceedings of GCCE","author":"Sakurai","year":"(2020)"},{"key":"2026040623332282600_ref586","first-page":"53","article-title":"\u201cMusic Playlist Generation Based on Graph Exploration Using Reinforcement Learning\u201d","volume-title":"Proceedings of LifeTech","author":"Sakurai","year":"(2021)"},{"issue":"10","key":"2026040623332282600_ref587","doi-asserted-by":"crossref","first-page":"3722","DOI":"10.3390\/s22103722","article-title":"\u201cControllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning\u201d","volume":"22","author":"Sakurai","year":"(2022)","journal-title":"Sensors"},{"key":"2026040623332282600_ref588","first-page":"22","article-title":"\u201cEmotional Neural Language Generation Grounded in Situational Contexts\u201d","volume-title":"Proceedings of 4th Workshop on Computational Creativity in Language Generation","author":"Santhanam","year":"(2019)"},{"key":"2026040623332282600_ref589","first-page":"5680","article-title":"\u201cDeep Belief Nets for Natural Language Call-routing\u201d","volume-title":"Proceedings of ICASSP","author":"Sarikaya","year":"(2011)"},{"key":"2026040623332282600_ref590","first-page":"861","article-title":"\u201cUnderstanding and Mitigating the Effect of Outliers in Fair Ranking\u201d","volume-title":"Proceedings of WSDM","author":"Sarvi","year":"(2022)"},{"key":"2026040623332282600_ref591","article-title":"\u201cA Comparison of Supervised Learning to Match Methods for Product Search\u201d","volume-title":"Proceedings of SIGIR Workshop on eCommerce","author":"Sarvi","year":"(2020)"},{"key":"2026040623332282600_ref592","first-page":"285","article-title":"\u201cItem-Based Collaborative Filtering Recommendation Algorithms\u201d","volume-title":"Proceedings of Web Conference","author":"Sarwar","year":"(2001)"},{"issue":"1","key":"2026040623332282600_ref593","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","article-title":"\u201cThe Graph Neural Network Model\u201d","volume":"20","author":"Scarselli","year":"(2009)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"2026040623332282600_ref594","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1145\/2835776.2835804","article-title":"\u201cMultileave Gradient Descent for Fast Online Learning to Rank\u201d","volume-title":"Proceedings of WSDM","author":"Schuth","year":"(2016)"},{"key":"2026040623332282600_ref595","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1145\/1557019.1557161","article-title":"\u201cPredicting Bounce Rates in Sponsored Search Advertisements\u201d","volume-title":"Proceedings of KDD","author":"Sculley","year":"(2009)"},{"key":"2026040623332282600_ref596","article-title":"\u201cBidirectional Attention Flow for Machine Comprehension\u201d","volume-title":"Proceedings of ICLR","author":"Seo","year":"(2017)"},{"key":"2026040623332282600_ref597","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10983","article-title":"\u201cA Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues\u201d","volume-title":"Proceedings of AAAI","author":"Serban","year":"(2017)"},{"key":"2026040623332282600_ref598","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10984","article-title":"\u201cMultiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation\u201d","volume-title":"Proceedings of AAAI","author":"Serban","year":"(2017)"},{"key":"2026040623332282600_ref599","first-page":"3776","article-title":"\u201cBuilding End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models\u201d","volume-title":"Proceedings of AAAI","author":"Serban","year":"(2016)"},{"key":"2026040623332282600_ref600","first-page":"255","article-title":"\u201cDeep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features\u201d","volume-title":"Proceedings of KDD","author":"Shan","year":"(2016)"},{"key":"2026040623332282600_ref601","first-page":"1577","article-title":"\u201cNeural Responding Machine for Short-Text Conversation\u201d","volume-title":"Proceedings of ACL","author":"Shang","year":"(2015)"},{"key":"2026040623332282600_ref602","first-page":"210","article-title":"\u201cSocial Information Filtering: Algorithms for Automating \u201cWord of Mouth\u201d\u201d","volume-title":"Proceedings of CHI","author":"Shardanand","year":"(1995)"},{"key":"2026040623332282600_ref603","first-page":"1133","article-title":"\u201cDo Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems\u201d","volume-title":"Proceedings of Web Conference","author":"Sharma","year":"(2013)"},{"key":"2026040623332282600_ref604","first-page":"426","article-title":"\u201cCyclegen: Cyclic Consistency based Product Review Generator from Attributes\u201d","volume-title":"Proceedings of INLG","author":"Sharma","year":"(2018)"},{"issue":"1","key":"2026040623332282600_ref605","first-page":"29","article-title":"\u201cChatbots: Are they Really Useful?\u201d","volume":"22","author":"Shawar","year":"(2007)","journal-title":"Ldv Forum"},{"key":"2026040623332282600_ref606","first-page":"556","article-title":"\u201cCDL: Curriculum Dual Learning for Emotion-Controllable Response Generation\u201d","volume-title":"Proceedings of ACL","author":"Shen","year":"(2020)"},{"key":"2026040623332282600_ref607","first-page":"2789","article-title":"\u201cViDA-MAN: Visual Dialog with Digital Humans\u201d","volume-title":"Proceedings of MM","author":"Shen","year":"(2021)"},{"key":"2026040623332282600_ref608","first-page":"373","article-title":"\u201cLearning Semantic Representations Using Convolutional Neural Networks for Web Search\u201d","volume-title":"Proceedings of Web Conference","author":"Shen","year":"(2014)"},{"key":"2026040623332282600_ref609","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.neucom.2021.02.006","article-title":"\u201cHTDA: Hierarchical Time-based Directional Attention Network for Sequential User Behavior Modeling\u201d","volume":"441","author":"Sheng","year":"(2021)","journal-title":"Neurocomputing"},{"key":"2026040623332282600_ref610","first-page":"168","article-title":"\u201cAutomatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning\u201d","volume-title":"Proceedings of ISMIR","author":"Shih","year":"(2018)"},{"key":"2026040623332282600_ref611","unstructured":"Shin\n              J.\n            \n            \n              Xu\n              P.\n            \n            \n              Madotto\n              A.\n            \n            \n              Fung\n              P.\n            \n          \n          (2019)\n          \u201cHappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead\u201d\n          CoRR\n          abs\/1906.08487"},{"key":"2026040623332282600_ref612","first-page":"2659","article-title":"\u201cWhy So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots\u201d","volume-title":"Proceedings of CCS","author":"Si","year":"(2022)"},{"key":"2026040623332282600_ref613","first-page":"1313","article-title":"\u201cWhen Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Si","year":"(2023)"},{"issue":"1","key":"2026040623332282600_ref614","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1145\/363707.363732","article-title":"\u201cAnswering English Questions by Computer: A Survey\u201d","volume":"8","author":"Simmons","year":"(1965)","journal-title":"Communications of the ACM"},{"key":"2026040623332282600_ref615","first-page":"2219","article-title":"\u201cFairness of Exposure in Rankings\u201d","volume-title":"Proceedings of KDD","author":"Singh","year":"(2018)"},{"key":"2026040623332282600_ref616","first-page":"25968","article-title":"\u201cEnd-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering\u201d","volume-title":"Proceedings of NIPS","author":"Singh","year":"(2021)"},{"key":"2026040623332282600_ref619","first-page":"73","article-title":"\u201cRewriting Null E-Commerce Queries to Recommend Products\u201d","volume-title":"Proceedings of Web Conference","author":"Singh","year":"(2012)"},{"key":"2026040623332282600_ref620","first-page":"2018","article-title":"\u201cUnderstanding User Satisfaction with Task-Oriented Dialogue Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Siro","year":"(2022)"},{"issue":"3","key":"2026040623332282600_ref621","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1509\/jmkr.41.3.306.35985","article-title":"\u201cModeling Purchase Behavior at an E-Commerce Web Site: A Task-Completion Approach\u201d","volume":"41","author":"Sismeiro","year":"(2004)","journal-title":"Journal of Marketing Research"},{"issue":"3","key":"2026040623332282600_ref622","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1109\/T-AFFC.2013.16","article-title":"\u201cAffect and Social Processes in Online Communication\u2013Experiments with an Affective Dialog System\u201d","volume":"4","author":"Skowron","year":"(2013)","journal-title":"IEEE Transactions on Affective Computing"},{"key":"2026040623332282600_ref623","first-page":"155","article-title":"\u201cSupport Vector Regression Machines\u201d","volume-title":"Proceedings of NIPS","author":"Smola","year":"(1997)"},{"key":"2026040623332282600_ref624","first-page":"1631","article-title":"\u201cRecursive Deep Models for Semantic Compositionality Over a Sentiment Treebank\u201d","volume-title":"Proceedings of EMNLP","author":"Socher","year":"(2013)"},{"key":"2026040623332282600_ref625","volume-title":"Consumer Buying, Having and Being","author":"Solomon","year":"(1994)"},{"key":"2026040623332282600_ref626","first-page":"405","article-title":"\u201cSummarizing Answers in Non-factoid Community Question-answering\u201d","volume-title":"Proceedings of WSDM","author":"Song","year":"(2017)"},{"key":"2026040623332282600_ref627","first-page":"945","article-title":"\u201cTowards Automated Neural Interaction Discovery for Click-through Rate Prediction\u201d","volume-title":"Proceedings of KDD","author":"Song","year":"(2020)"},{"key":"2026040623332282600_ref628","unstructured":"Song\n              S.\n            \n          \n          (2021)\n          \u201cAn Online Question Answering System based on Sub-graph Searching\u201d\n          arXiv\n          arXiv:2107.13684"},{"key":"2026040623332282600_ref629","first-page":"844","article-title":"\u201cTCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce\u201d","volume-title":"Proceedings of Web Conference","author":"Song","year":"(2020)"},{"key":"2026040623332282600_ref630","first-page":"909","article-title":"\u201cMulti-Rate Deep Learning for Temporal Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Song","year":"(2016)"},{"key":"2026040623332282600_ref631","first-page":"196","article-title":"\u201cA Neural Network Approach to Context-Sensitive Generation of Conversational Responses\u201d","volume-title":"Proceedings of NAACL","author":"Sordoni","year":"(2015)"},{"issue":"1","key":"2026040623332282600_ref632","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.ijforecast.2021.11.011","article-title":"\u201cParameter Efficient Deep Probabilistic Forecasting\u201d","volume":"39","author":"Sprangers","year":"(2023)","journal-title":"International Journal of Forecasting"},{"key":"2026040623332282600_ref633","author":"Srihari","year":"(1999)"},{"key":"2026040623332282600_ref634","first-page":"213","article-title":"\u201cEvaluation of Recommendations: Rating-Prediction and Ranking\u201d","volume-title":"Proceedings of RecSys","author":"Steck","year":"(2013)"},{"key":"2026040623332282600_ref635","first-page":"547","article-title":"\u201cUser Intent, Behaviour, and Perceived Satisfaction in Product Search\u201d","volume-title":"Proceedings of WSDM","author":"Su","year":"(2018)"},{"key":"2026040623332282600_ref636","first-page":"1673","article-title":"\u201cDetecting Crowdturfing \u201cAdd to Favorites\u201d Activities in Online Shopping\u201d","volume-title":"Proceedings of Web Conference","author":"Su","year":"(2018)"},{"key":"2026040623332282600_ref637","unstructured":"Su\n              P.-H.\n            \n            \n              Gasic\n              M.\n            \n            \n              Mrksic\n              N.\n            \n            \n              Rojas-Barahona\n              L.\n            \n            \n              Ultes\n              S.\n            \n            \n              Vandyke\n              D.\n            \n            \n              Wen\n              T.-H.\n            \n            \n              Young\n              S.\n            \n          \n          (2016)\n          \u201cContinuously Learning Neural Dialogue Management\u201d\n          arXiv\n          arXiv:1606.02689"},{"key":"2026040623332282600_ref638","doi-asserted-by":"crossref","DOI":"10.1155\/2009\/421425","article-title":"\u201cA Survey of Collaborative Filtering Techniques\u201d","volume":"2009","author":"Su","year":"(2009)","journal-title":"Advances in Artificial Intelligence"},{"key":"2026040623332282600_ref639","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v35i5.16561","article-title":"\u201cDetecting Beneficial Feature Interactions for Recommender Systems\u201d","volume-title":"Proceedings of AAAI","author":"Su","year":"(2021)"},{"key":"2026040623332282600_ref640","article-title":"\u201cDialogue Response Selection with Hierarchical Curriculum Learning\u201d","volume-title":"arXiv","author":"Su","year":"(2020)"},{"key":"2026040623332282600_ref641","first-page":"3522","article-title":"\u201cAn Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration\u201d","volume-title":"Proceedings of IJCAI","author":"Su","year":"(2020)"},{"issue":"2","key":"2026040623332282600_ref642","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.eswa.2004.01.008","article-title":"\u201cA Prediction Model for the Purchase Probability of Anonymous Customers to Support Real Time Web Marketing: A Case Study\u201d","volume":"27","author":"Suh","year":"(2004)","journal-title":"Expert Systems with Applications"},{"key":"2026040623332282600_ref643","first-page":"7","article-title":"\u201cMulti-Source Pointer Network for Product Title Summarization\u201d","volume-title":"Proceedings of CIKM","author":"Sun","year":"(2018)"},{"key":"2026040623332282600_ref644","first-page":"1441","article-title":"\u201cBERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer\u201d","volume-title":"Proceedings of CIKM","author":"Sun","year":"(2019)"},{"key":"2026040623332282600_ref645","first-page":"4231","article-title":"\u201cOpen Domain Question Answering Using Early Fusion of Knowledge Bases and Text\u201d","volume-title":"Proceedings of EMNLP","author":"Sun","year":"(2018)"},{"key":"2026040623332282600_ref646","first-page":"1439","article-title":"\u201cDual Sequential Network for Temporal Sets Prediction\u201d","volume-title":"Proceedings of SIGIR","author":"Sun","year":"(2020)"},{"key":"2026040623332282600_ref647","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.inffus.2016.10.004","article-title":"\u201cA Review of Natural Language Processing Techniques for Opinion Mining Systems\u201d","volume":"36","author":"Sun","year":"(2017)","journal-title":"Information Fusion"},{"key":"2026040623332282600_ref648","first-page":"1442","article-title":"\u201cConversations Powered by Cross-Lingual Knowledge\u201d","volume-title":"Proceedings of SIGIR","author":"Sun","year":"(2021)"},{"key":"2026040623332282600_ref649","first-page":"13618","article-title":"\u201cContrastive Learning Reduces Hallucination in Conversations\u201d","volume-title":"Proceedings of AAAI","author":"Sun","year":"(2023)"},{"key":"2026040623332282600_ref650","article-title":"\u201cLearning to Tokenize for Generative Retrieval\u201d","volume-title":"Proceedings of NeurIPS","author":"Sun","year":"(2024)"},{"key":"2026040623332282600_ref651","doi-asserted-by":"crossref","unstructured":"Sun\n              W.\n            \n            \n              Yan\n              L.\n            \n            \n              Ma\n              X.\n            \n            \n              Wang\n              S.\n            \n            \n              Ren\n              P.\n            \n            \n              Chen\n              Z.\n            \n            \n              Yin\n              D.\n            \n            \n              Ren\n              Z.\n            \n          \n          (2023)\n          \u201cIs ChatGPT Good at Search? Investigating Large Language Models as Re-ranking Agents\u201d\n          arXiv\n          arXiv:2304.09542","DOI":"10.18653\/v1\/2023.emnlp-main.923"},{"key":"2026040623332282600_ref652","first-page":"2499","article-title":"\u201cSimulating User Satisfaction for the Evaluation of Task-Oriented Dialogue Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Sun","year":"(2021)"},{"key":"2026040623332282600_ref653","first-page":"645","article-title":"\u201cDebiasing the Human-Recommender System Feedback Loop in Collaborative Filtering\u201d","volume-title":"Proceedings of Web Conference","author":"Sun","year":"(2019)"},{"key":"2026040623332282600_ref654","first-page":"8944","article-title":"\u201cHistory-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System\u201d","volume-title":"Proceedings of AAAI","author":"Sun","year":"(2020)"},{"key":"2026040623332282600_ref655","first-page":"235","article-title":"\u201cConversational Recommender System\u201d","volume-title":"Proceedings of SIGIR","author":"Sun","year":"(2018)"},{"key":"2026040623332282600_ref656","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1145\/2959100.2959114","article-title":"\u201cConversational Recommendation System with Unsupervised Learning\u201d","volume-title":"Proceedings of RecSys","author":"Sun","year":"(2016)"},{"key":"2026040623332282600_ref657","unstructured":"Sunehag\n              P.\n            \n            \n              Evans\n              R.\n            \n            \n              Dulac-Arnold\n              G.\n            \n            \n              Zwols\n              Y.\n            \n            \n              Visentin\n              D.\n            \n            \n              Coppin\n              B.\n            \n          \n          (2015)\n          \u201cDeep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions\u201d\n          arXiv"},{"issue":"1","key":"2026040623332282600_ref658","doi-asserted-by":"crossref","first-page":"185","DOI":"10.2307\/20721420","article-title":"\u201cWhat Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com\u201d","volume":"34","author":"Susan","year":"(2010)","journal-title":"MIS Quarterly"},{"key":"2026040623332282600_ref659","first-page":"3104","article-title":"\u201cSequence to Sequence Learning with Neural Networks\u201d","volume-title":"Proceedings of NIPS","author":"Sutskever","year":"(2014)"},{"key":"2026040623332282600_ref660","first-page":"3632","article-title":"\u201cOff-policy Evaluation for Slate Recommendation\u201d","volume-title":"Proceedings of NIPS","author":"Swaminathan","year":"(2017)"},{"key":"2026040623332282600_ref661","first-page":"37","article-title":"\u201cActivities, Interests, and Opinions of Online Shoppers and Non-Shoppers\u201d","volume":"3","author":"Swinyard","year":"(2004)","journal-title":"International Business and Economics Research Journal"},{"key":"2026040623332282600_ref662","first-page":"1771","article-title":"\u201cAggregating E-Commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning\u201d","volume-title":"Proceedings of Web Conference","author":"Takanobu","year":"(2019)"},{"key":"2026040623332282600_ref663","first-page":"2323","article-title":"\u201cSentence Retrieval with Sentiment-Specific Topical Anchoring for Review Summarization\u201d","volume-title":"Proceedings of CIKM","author":"Tan","year":"(2017)"},{"key":"2026040623332282600_ref664","first-page":"982","article-title":"\u201cBit-aware Semantic Transformer Hashing for Multi-modal Retrieval\u201d","volume-title":"Proceedings of SIGIR","author":"Tan","year":"(2022)"},{"key":"2026040623332282600_ref665","first-page":"1014","article-title":"\u201cLearning Semantic Representations of Users and Products for Document Level Sentiment Classification\u201d","volume-title":"Proceedings of ACL-IJCNLP","author":"Tang","year":"(2015)"},{"key":"2026040623332282600_ref666","first-page":"1555","article-title":"\u201cLearning Sentiment-Specific Word Embedding for Twitter Sentiment Classification\u201d","volume-title":"Proceedings of ACL","author":"Tang","year":"(2014)"},{"key":"2026040623332282600_ref667","first-page":"565","article-title":"\u201cPersonalized Top-N Sequential Recommendation via Convolutional Sequence Embedding\u201d","volume-title":"Proceedings of WSDM","author":"Tang","year":"(2018)"},{"issue":"1","key":"2026040623332282600_ref668","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1145\/1870096.1870098","article-title":"\u201cA Combination Approach to Web User Profiling\u201d","volume":"5","author":"Tang","year":"(2010)","journal-title":"ACM Transactions on Knowledge Discovery from Data"},{"key":"2026040623332282600_ref669","first-page":"4446","article-title":"\u201cA Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations\u201d","volume-title":"Proceedings of ACL-IJCNLP","author":"Tao","year":"(2021)"},{"key":"2026040623332282600_ref670","doi-asserted-by":"crossref","DOI":"10.24963\/ijcai.2021\/627","article-title":"\u201cA Survey on Response Selection for Retrieval-based Dialogues\u201d","volume-title":"Proceedings of IJCAI","author":"Tao","year":"(2021)"},{"issue":"8","key":"2026040623332282600_ref671","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1016\/j.knosys.2008.04.005","article-title":"\u201cA Knowledge-based Question Answering System for B2C eCommerce\u201d","volume":"21","author":"Tapeh","year":"(2008)","journal-title":"Knowledge-Based Systems"},{"key":"2026040623332282600_ref672","first-page":"21831","article-title":"\u201cTransformer Memory as a Differentiable Search Index\u201d","volume-title":"Proceedings of NIPS","author":"Tay","year":"(2022)"},{"issue":"1","key":"2026040623332282600_ref673","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1509\/jppm.16.215","article-title":"\u201cSocial Sustainability as Buying Local: Effects of Soft Policy, Meso-Level Actors, and Social Influences on Purchase Intentions\u201d","volume":"37","author":"Testa","year":"(2018)","journal-title":"Journal of Public Policy & Marketing"},{"key":"2026040623332282600_ref674","first-page":"650","article-title":"\u201cResponse-Anticipated Memory for On-Demand Knowledge Integration in Response Generation\u201d","volume-title":"Proceedings of ACL","author":"Tian","year":"(2020)"},{"key":"2026040623332282600_ref675","first-page":"4948","article-title":"\u201cAutomatic Music Playlist Generation via Simulation-based Reinforcement Learning\u201d","volume-title":"Proceedings of KDD","author":"Tomasi","year":"(2023)"},{"key":"2026040623332282600_ref676","first-page":"66","article-title":"\u201cBERT-based Similarity Learning for Product Matching\u201d","volume-title":"Proceedings of Workshop on Natural Language Processing in E-Commerce","author":"Tracz","year":"(2020)"},{"key":"2026040623332282600_ref677","first-page":"63","article-title":"\u201cSemantic Refinement GRU-Based Neural Language Generation for Spoken Dialogue Systems\u201d","volume-title":"Proceedings of PACLING","author":"Tran","year":"(2017)"},{"key":"2026040623332282600_ref678","first-page":"374","article-title":"\u201cDetecting Sensitive Content in Spoken Language\u201d","volume-title":"Proceedings of DSAA","author":"Tripathi","year":"(2019)"},{"key":"2026040623332282600_ref679","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.eswa.2016.03.028","article-title":"\u201cClassification of Sentiment Reviews using N-gram Machine Learning Approach\u201d","volume":"57","author":"Tripathy","year":"(2016)","journal-title":"Expert Systems with Applications"},{"key":"2026040623332282600_ref680","first-page":"32","article-title":"\u201cInforming the Design of Spoken Conversational Search: Perspective Paper\u201d","volume-title":"Proceedings of CHIIR","author":"Trippas","year":"(2018)"},{"key":"2026040623332282600_ref681","doi-asserted-by":"crossref","first-page":"102162","DOI":"10.1016\/j.ipm.2019.102162","article-title":"\u201cTowards a Model for Spoken Conversational Search\u201d","volume":"57","author":"Trippas","year":"(2020)","journal-title":"Information Processing and Management"},{"key":"2026040623332282600_ref682","article-title":"\u201cThe Architecture of eBay Search\u201d","volume-title":"Proceedings of SIGIR","author":"Trotman","year":"(2017)"},{"issue":"1","key":"2026040623332282600_ref683","doi-asserted-by":"crossref","DOI":"10.1145\/3451964.3451966","article-title":"\u201cChallenges and Research Opportunities in eCommerce Search and Recommendations\u201d","volume":"54","author":"Tsagkias","year":"(2020)","journal-title":"SIGIR Forum"},{"issue":"11","key":"2026040623332282600_ref684","doi-asserted-by":"crossref","first-page":"3028","DOI":"10.1109\/TKDE.2016.2597848","article-title":"\u201cManaging Diverse Sentiments at Large Scale\u201d","volume":"28","author":"Tsytsarau","year":"(2016)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"2026040623332282600_ref685","first-page":"1855","article-title":"\u201cDyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs\u201d","volume-title":"Proceedings of EMNLP","author":"Tuan","year":"(2019)"},{"key":"2026040623332282600_ref686","first-page":"5045","article-title":"\u201cTowards Deeper Understanding: Deep Convex Networks for Semantic Utterance Classification\u201d","volume-title":"Proceedings of ICASSP","author":"Tur","year":"(2012)"},{"issue":"4","key":"2026040623332282600_ref687","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3466796","article-title":"\u201cA Large-scale Analysis of Mixed Initiative in Information-seeking Dialogues for Conversational Search\u201d","volume":"39","author":"Vakulenko","year":"(2021)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref688","unstructured":"Vall\n              A.\n            \n            \n              Quadrana\n              M.\n            \n            \n              Schedl\n              M.\n            \n            \n              Widmer\n              G.\n            \n          \n          (2018)\n          \u201cThe Importance of Song Context and Song Order in Automated Music Playlist Generation\u201d\n          arXiv\n          abs\/1807.04690"},{"issue":"2","key":"2026040623332282600_ref689","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.ejor.2004.04.022","article-title":"\u201cPredicting Online-purchasing Behaviour\u201d","volume":"166","author":"Van den Poel","year":"(2005)","journal-title":"European Journal of Operational Research"},{"key":"2026040623332282600_ref690","first-page":"165","article-title":"\u201cLearning Latent Vector Spaces for Product Search\u201d","volume-title":"Proceedings of CIKM","author":"Van Gysel","year":"(2016)"},{"key":"2026040623332282600_ref691","first-page":"1373","article-title":"\u201cMix\u2019n Match: Integrating Text Matching and Product Substitutability within Product Search\u201d","volume-title":"Proceedings of CIKM","author":"Van Gysel","year":"(2018)"},{"key":"2026040623332282600_ref692","first-page":"1069","article-title":"\u201cUnsupervised, Efficient and Semantic Expertise Retrieval\u201d","volume-title":"Proceedings of Web Conference","author":"Van Gysel","year":"(2016)"},{"key":"2026040623332282600_ref693","first-page":"293","article-title":"\u201cAn Engagement-Based Customer Lifetime Value System for E-Commerce\u201d","volume-title":"Proceedings of KDD","author":"Vanderveld","year":"(2016)"},{"key":"2026040623332282600_ref694","first-page":"715","article-title":"\u201cProbabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking\u201d","volume-title":"Proceedings of SIGIR","author":"Vardasbi","year":"(2022)"},{"key":"2026040623332282600_ref695","first-page":"5998","article-title":"\u201cAttention is All You Need\u201d","volume-title":"Proceedings of NIPS","author":"Vaswani","year":"(2017)"},{"key":"2026040623332282600_ref696","first-page":"2695","article-title":"\u201cFactorization Bandits for Interactive Recommendation\u201d","volume-title":"Proceedings of AAAI","author":"Wang","year":"(2017)"},{"key":"2026040623332282600_ref697","first-page":"9169","article-title":"\u201cImproving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering\u201d","volume-title":"Proceedings of AAAI","author":"Wang","year":"(2020)"},{"key":"2026040623332282600_ref698","first-page":"451","article-title":"\u201cA Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data\u201d","volume-title":"Proceedings of AAAI","author":"Wang","year":"(2018)"},{"key":"2026040623332282600_ref699","first-page":"187","article-title":"\u201cA Statistical Framework for Product Description Generation\u201d","volume-title":"Proceedings of IJCNLP","author":"Wang","year":"(2017)"},{"key":"2026040623332282600_ref700","first-page":"839","article-title":"\u201cBillion-Scale Commodity Embedding for E-Commerce Recommendation in Alibaba\u201d","volume-title":"Proceedings of KDD","author":"Wang","year":"(2018)"},{"key":"2026040623332282600_ref701","first-page":"403","article-title":"\u201cLearning Hierarchical Representation Model for Next-Basket Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Wang","year":"(2015)"},{"issue":"6","key":"2026040623332282600_ref702","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1007\/s11390-019-1972-2","article-title":"\u201cModeling Temporal Dynamics of Users\u2019 Purchase Behaviors for Next Basket Prediction\u201d","volume":"34","author":"Wang","year":"(2019)","journal-title":"Journal of Computer Science and Technology"},{"issue":"1","key":"2026040623332282600_ref703","doi-asserted-by":"crossref","first-page":"7549","DOI":"10.1109\/TIP.2020.3004249","article-title":"\u201cMetasearch: Incremental Product Search via Deep Meta-learning\u201d","volume":"29","author":"Wang","year":"(2020)","journal-title":"IEEE Transactions on Image Processing"},{"issue":"8","key":"2026040623332282600_ref704","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1109\/TKDE.2018.2866041","article-title":"\u201cOnline Interactive Collaborative Filtering Using Multi-armed Bandit with Dependent Arms\u201d","volume":"31","author":"Wang","year":"(2018)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"2026040623332282600_ref705","doi-asserted-by":"crossref","first-page":"12:1","DOI":"10.1145\/3124749.3124754","article-title":"\u201cDeep & Cross Network for Ad Click Predictions\u201d","volume-title":"Proceedings of ADKDD","author":"Wang","year":"(2017)"},{"key":"2026040623332282600_ref706","first-page":"6259","article-title":"\u201cIntention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction\u201d","volume-title":"Proceedings of AAAI","author":"Wang","year":"(2020)"},{"key":"2026040623332282600_ref707","first-page":"5981","article-title":"\u201cR3: Reinforced Ranker-Reader for Open-domain Question Answering\u201d","volume-title":"Proceedings of AAAI","author":"Wang","year":"(2018)"},{"issue":"(1)","key":"2026040623332282600_ref708","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s00778-015-0391-4","article-title":"\u201cEffective Deep Learning-based Multi-modal Retrieval\u201d","volume":"25","author":"Wang","year":"(2016)","journal-title":"The VLDB Journal"},{"key":"2026040623332282600_ref709","first-page":"189","article-title":"\u201cGated Self-Matching Networks for Reading Comprehension and Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Wang","year":"(2017)"},{"key":"2026040623332282600_ref710","first-page":"1288","article-title":"\u201cClicks Can Be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue\u201d","volume-title":"Proceedings of SIGIR","author":"Wang","year":"(2021)"},{"key":"2026040623332282600_ref711","first-page":"950","article-title":"\u201cKGAT: Knowledge Graph Attention Network for Recommendation\u201d","volume-title":"Proceedings of KDD","author":"Wang","year":"(2019)"},{"key":"2026040623332282600_ref712","first-page":"165","article-title":"\u201cNeural Graph Collaborative Filtering\u201d","volume-title":"Proceedings of SIGIR","author":"Wang","year":"(2019)"},{"key":"2026040623332282600_ref713","first-page":"5329","article-title":"\u201cExplainable Reasoning over Knowledge Graphs for Recommendation\u201d","volume-title":"Proceedings of AAAI","author":"Wang","year":"(2019)"},{"key":"2026040623332282600_ref714","first-page":"115","article-title":"\u201cLearning to Rank with Selection Bias in Personal Search\u201d","volume-title":"Proceedings of SIGIR","author":"Wang","year":"(2016)"},{"key":"2026040623332282600_ref715","first-page":"3319","article-title":"\u201cLUNA: Learning Slot-Turn Alignment for Dialogue State Tracking\u201d","volume-title":"Proceedings of NAACL","author":"Wang","year":"(2022)"},{"key":"2026040623332282600_ref716","doi-asserted-by":"crossref","first-page":"25600","DOI":"10.2737\/FPL-GTR-290","article-title":"\u201cA Neural Corpus Indexer for Document Retrieval\u201d","volume-title":"Proceedings of NIPS","author":"Wang","year":"(2022)"},{"issue":"(8)","key":"2026040623332282600_ref717","first-page":"1","article-title":"\u201cSiamese Alignment Network for Weakly Supervised Video Moment Retrieval\u201d","volume":"14","author":"Wang","year":"(2022)","journal-title":"IEEE Transactions on Multimedia"},{"key":"2026040623332282600_ref718","first-page":"219","article-title":"\u201cCKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Wang","year":"(2020)"},{"key":"2026040623332282600_ref719","first-page":"423","article-title":"\u201cA Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information\u201d","volume-title":"Proceedings of SIGDIAL","author":"Wang","year":"(2013)"},{"key":"2026040623332282600_ref720","first-page":"619","article-title":"\u201cA Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce\u201d","volume-title":"Proceedings of WSDM","author":"Wang","year":"(2018)"},{"issue":"(10)","key":"2026040623332282600_ref721","doi-asserted-by":"crossref","first-page":"6534","DOI":"10.1109\/TPAMI.2021.3088863","article-title":"\u201cUniversal weighting metric learning for cross-modal retrieval\u201d","volume":"44","author":"Wei","year":"(2022)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2026040623332282600_ref722","first-page":"1401","article-title":"\u201cEmotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction\u201d","volume-title":"Proceedings of CIKM","author":"Wei","year":"(2019)"},{"key":"2026040623332282600_ref723","first-page":"338","article-title":"\u201cMulti-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System\u201d","volume-title":"Proceedings of AAAI","author":"Wen","year":"(2019)"},{"key":"2026040623332282600_ref724","first-page":"2187","article-title":"\u201cHierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction\u201d","volume-title":"Proceedings of SIGIR","author":"Wen","year":"(2021)"},{"key":"2026040623332282600_ref725","first-page":"2377","article-title":"\u201cEntire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction\u201d","volume-title":"Proceedings of SIGIR","author":"Wen","year":"(2020)"},{"key":"2026040623332282600_ref726","first-page":"278","article-title":"\u201cLeveraging Post-click Feedback for Content Recommendations\u201d","volume-title":"Proceedings of RecSys","author":"Wen","year":"(2019)"},{"key":"2026040623332282600_ref727","first-page":"275","article-title":"\u201cStochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking\u201d","volume-title":"Proceedings of SIGDIAL","author":"Wen","year":"(2015)"},{"key":"2026040623332282600_ref728","first-page":"1711","article-title":"\u201cSemantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems\u201d","volume-title":"Proceedings of EMNLP","author":"Wen","year":"(2015)"},{"key":"2026040623332282600_ref729","first-page":"3732","article-title":"\u201cLatent Intention Dialogue Models\u201d","volume-title":"Proceedings of ICML","author":"Wen","year":"(2017)"},{"key":"2026040623332282600_ref730","first-page":"438","article-title":"\u201cA Network-Based End-to-End Trainable Task-Oriented Dialogue System\u201d","volume-title":"Proceedings of EACL","author":"Wen","year":"(2017)"},{"key":"2026040623332282600_ref731","first-page":"1585","article-title":"\u201cAn Effective Domain Adaptive Post-Training Method for BERT in Response Selection\u201d","volume-title":"Proceedings of INTERSPEECH","author":"Whang","year":"(2020)"},{"key":"2026040623332282600_ref732","first-page":"2165","article-title":"\u201cPractical Diversified Recommendations on YouTube with Determinantal Point Processes\u201d","volume-title":"Proceedings of CIKM","author":"Wilhelm","year":"(2018)"},{"key":"2026040623332282600_ref733","first-page":"23","article-title":"\u201cA Belief Tracking Challenge Task for Spoken Dialog Systems\u201d","volume-title":"Proceedings of NAACL","author":"Williams","year":"(2012)"},{"key":"2026040623332282600_ref734","first-page":"433","article-title":"\u201cMulti-domain Learning and Generalization in Dialog State Tracking\u201d","volume-title":"Proceedings of SIGDIAL","author":"Williams","year":"(2013)"},{"issue":"(3)","key":"2026040623332282600_ref735","doi-asserted-by":"crossref","first-page":"4","DOI":"10.5087\/dad.2016.301","article-title":"\u201cThe Dialog State Tracking Challenge Series: A Review\u201d","volume":"7","author":"Williams","year":"(2016)","journal-title":"Dialogue & Discourse"},{"key":"2026040623332282600_ref736","article-title":"\u201cWeb-style Ranking and SLU Combination for Dialog State Tracking\u201d","volume-title":"Proceedings of SIGDIAL","author":"Williams","year":"(2014)"},{"key":"2026040623332282600_ref737","first-page":"665","article-title":"\u201cHybrid Code Networks: Practical and Efficient End-to-end Dialog Control with Supervised and Reinforcement Learning\u201d","volume-title":"Proceedings of ACL","author":"Williams","year":"(2017)"},{"issue":"(4)","key":"2026040623332282600_ref738","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1609\/aimag.v35i4.2558","article-title":"\u201cThe Dialog State Tracking Challenge Series\u201d","volume":"35","author":"Williams","year":"(2014)","journal-title":"AI Magazine"},{"key":"2026040623332282600_ref739","first-page":"917","article-title":"\u201cTOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue\u201d","volume-title":"Proceedings of EMNLP","author":"Wu","year":"(2020)"},{"key":"2026040623332282600_ref740","first-page":"808","article-title":"\u201cTransferable Multi-Domain State Generator for Task-Oriented Dialogue Systems\u201d","volume-title":"Proceedings of ACL","author":"Wu","year":"(2019)"},{"key":"2026040623332282600_ref741","article-title":"\u201cUserBERT: Contrastive User Model Pre-training\u201d","volume-title":"arXiv preprint arXiv:2109.01274","author":"Wu","year":"(2021)"},{"key":"2026040623332282600_ref742","first-page":"3157","article-title":"\u201cAspect-based Opinion Summarization with Convolutional Neural Networks\u201d","volume-title":"Proceedings of IJCNN","author":"Wu","year":"(2016)"},{"key":"2026040623332282600_ref743","first-page":"726","article-title":"\u201cSelf-Supervised Graph Learning for Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Wu","year":"(2021)"},{"key":"2026040623332282600_ref744","first-page":"365","article-title":"\u201cTurning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce\u201d","volume-title":"Proceedings of SIGIR","author":"Wu","year":"(2018)"},{"key":"2026040623332282600_ref745","first-page":"1927","article-title":"\u201cReturning is Believing: Optimizing Long-Term User Engagement in Recommender Systems\u201d","volume-title":"Proceedings of CIKM","author":"Wu","year":"(2017)"},{"key":"2026040623332282600_ref746","first-page":"1402","article-title":"\u201cImproving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues\u201d","volume-title":"Proceedings of EMNLP","author":"Wu","year":"(2020)"},{"key":"2026040623332282600_ref747","first-page":"5811","article-title":"\u201cDiverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness\u201d","volume-title":"Proceedings of ACL","author":"Wu","year":"(2020)"},{"key":"2026040623332282600_ref748","first-page":"1413","article-title":"\u201cDeep Chit-Chat: Deep Learning for Chatbots\u201d","volume-title":"Proceedings of SIGIR","author":"Wu","year":"(2019)"},{"key":"2026040623332282600_ref749","first-page":"3794","article-title":"\u201cProactive Human-Machine Conversation with Explicit Conversation Goal\u201d","volume-title":"Proceedings of ACL","author":"Wu","year":"(2019)"},{"key":"2026040623332282600_ref750","first-page":"493","article-title":"\u201cA Multi-task Learning Framework for Product Ranking with BERT\u201d","volume-title":"Proceedings of Web Conference","author":"Wu","year":"(2022)"},{"key":"2026040623332282600_ref751","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1145\/2835776.2835837","article-title":"\u201cCollaborative Denoising Auto-Encoders for Top-N Recommender Systems\u201d","volume-title":"Proceedings of WSDM","author":"Wu","year":"(2016)"},{"key":"2026040623332282600_ref752","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.neucom.2018.07.073","article-title":"\u201cResponse Selection with Topic Clues for Retrieval-based Chatbots\u201d","volume":"316","author":"Wu","year":"(2018)","journal-title":"Neurocomputing"},{"key":"2026040623332282600_ref753","first-page":"496","article-title":"\u201cSequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots\u201d","volume-title":"Proceedings of ACL","author":"Wu","year":"(2017)"},{"key":"2026040623332282600_ref754","first-page":"5989","article-title":"\u201cImproving Review Representations With User Attention and Product Attention for Sentiment Classification\u201d","volume-title":"Proceedings of AAAI","author":"Wu","year":"(2018)"},{"key":"2026040623332282600_ref755","first-page":"7945","article-title":"\u201cLexical Knowledge Internalization for Neural Dialog Generation\u201d","volume-title":"Proceedings of ACL","author":"Wu","year":"(2022)"},{"issue":"(8)","key":"2026040623332282600_ref756","doi-asserted-by":"crossref","first-page":"2120","DOI":"10.1109\/TKDE.2015.2407371","article-title":"\u201cDual Sentiment Analysis: Considering Two Sides of One Review\u201d","volume":"27","author":"Xia","year":"(2015)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"2026040623332282600_ref757","first-page":"285","article-title":"\u201cReinforcement Knowledge Graph Reasoning for Explainable Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Xian","year":"(2019)"},{"key":"2026040623332282600_ref758","first-page":"3119","article-title":"\u201cAttentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks\u201d","volume-title":"Proceedings of IJCAI","author":"Xiao","year":"(2017)"},{"key":"2026040623332282600_ref759","first-page":"3477","article-title":"\u201cEnd-to-End Conversational Search for Online Shopping with Utterance Transfer\u201d","volume-title":"Proceedings of EMNLP","author":"Xiao","year":"(2021)"},{"key":"2026040623332282600_ref760","first-page":"1693","article-title":"\u201cDynamic Bayesian Metric Learning for Personalized Product Search\u201d","volume-title":"Proceedings of CIKM","author":"Xiao","year":"(2019)"},{"key":"2026040623332282600_ref761","first-page":"2265","article-title":"\u201cDeep Multi-interest Network for Click-through Rate Prediction\u201d","volume-title":"Proceedings of CIKM","author":"Xiao","year":"(2020)"},{"key":"2026040623332282600_ref762","first-page":"502","article-title":"\u201cAutomatically Predicting Peer-Review Helpfulness\u201d","volume-title":"Proceedings of ACL","author":"Xiong","year":"(2011)"},{"key":"2026040623332282600_ref763","first-page":"1985","article-title":"\u201cEmpirical Analysis of Exploiting Review Helpfulness for Extractive Summarization of Online Reviews\u201d","volume-title":"Proceedings of COLING","author":"Xiong","year":"(2014)"},{"key":"2026040623332282600_ref764","first-page":"4546","article-title":"\u201cTransformer-style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling\u201d","volume-title":"Proceedings of AAAI","author":"Xu","year":"(2021)"},{"key":"2026040623332282600_ref765","article-title":"\u201cReview Conversational Reading Comprehension\u201d","volume-title":"arXiv preprint arXiv:1902.00821","author":"Xu","year":"(2019)"},{"key":"2026040623332282600_ref766","first-page":"1365","article-title":"\u201cDeep Learning for Matching in Search and Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Xu","year":"(2018)"},{"key":"2026040623332282600_ref767","first-page":"1726","article-title":"\u201cDiscovering Dialog Structure Graph for Coherent Dialog Generation\u201d","volume-title":"Proceedings of ACL-IJCNLP","author":"Xu","year":"(2021)"},{"key":"2026040623332282600_ref768","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1145\/1277741.1277809","article-title":"\u201cAdaRank: A Boosting Algorithm for Information Retrieval\u201d","volume-title":"Proceedings of SIGIR","author":"Xu","year":"(2007)"},{"key":"2026040623332282600_ref769","first-page":"1835","article-title":"\u201cConversational Graph Grounded Policy Learning for Open-Domain Conversation Generation\u201d","volume-title":"Proceedings of ACL","author":"Xu","year":"(2020)"},{"key":"2026040623332282600_ref770","first-page":"9338","article-title":"\u201cKnowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation\u201d","volume-title":"Proceedings of AAAI","author":"Xu","year":"(2020)"},{"key":"2026040623332282600_ref771","first-page":"1448","article-title":"\u201cAn End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking\u201d","volume-title":"Proceedings of ACL","author":"Xu","year":"(2018)"},{"key":"2026040623332282600_ref772","first-page":"25132","article-title":"\u201cProduct Ranking for Revenue Maximization with Multiple Purchases\u201d","volume":"35","author":"Xu","year":"(2022)","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"(4)","key":"2026040623332282600_ref773","first-page":"1","article-title":"\u201cResponse Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues\u201d","volume":"39","author":"Xu","year":"(2021)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref774","first-page":"14158","article-title":"\u201cLearning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues\u201d","volume-title":"Proceedings of AAAI","author":"Xu","year":"(2021)"},{"key":"2026040623332282600_ref775","first-page":"93","article-title":"\u201cRetrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters\u201d","volume-title":"Proceedings of ACL","author":"Xu","year":"(2022)"},{"key":"2026040623332282600_ref776","first-page":"14176","article-title":"\u201cTopic-Aware Multi-turn Dialogue Modeling\u201d","volume-title":"Proceedings of AAAI","author":"Xu","year":"(2021)"},{"key":"2026040623332282600_ref777","first-page":"1921","article-title":"\u201cTag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling\u201d","volume-title":"Proceedings of CIKM","author":"Xu","year":"(2016)"},{"key":"2026040623332282600_ref778","first-page":"1059","article-title":"\u201cImproving Verbose Queries Using Subset Distribution\u201d","volume-title":"Proceedings of CIKM","author":"Xue","year":"(2010)"},{"key":"2026040623332282600_ref779","first-page":"55","article-title":"\u201cLearning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System\u201d","volume-title":"Proceedings of SIGIR","author":"Yan","year":"(2016)"},{"key":"2026040623332282600_ref780","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.knosys.2017.11.033","article-title":"\u201cResponse Selection from Unstructured Documents for Human-computer Conversation Systems\u201d","volume":"142","author":"Yan","year":"(2018)","journal-title":"Knowledge-Based Systems"},{"key":"2026040623332282600_ref781","first-page":"4618","article-title":"\u201cBuilding Task-oriented Dialogue Systems for Online Shopping\u201d","volume-title":"Proceedings of AAAI","author":"Yan","year":"(2017)"},{"key":"2026040623332282600_ref782","first-page":"2101","article-title":"\u201cVisual Search at eBay\u201d","volume-title":"Proceedings of KDD","author":"Yang","year":"(2017)"},{"key":"2026040623332282600_ref783","first-page":"103","article-title":"\u201cLarge Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features\u201d","volume-title":"Proceedings of Workshop on Big Data, Streams and Heterogeneous Source Mining","author":"Yang","year":"(2016)"},{"key":"2026040623332282600_ref784","first-page":"416","article-title":"\u201cMusic Playlist Recommendation with Long Short-Term Memory\u201d","volume-title":"Proceedings of DASFAA","author":"Yang","year":"(2019)"},{"key":"2026040623332282600_ref785","first-page":"4582","article-title":"\u201cCapturing Delayed Feedback in Conversion Rate Prediction via Elapsed-time Sampling\u201d","volume-title":"Proceedings of AAAI","author":"Yang","year":"(2021)"},{"issue":"6","key":"2026040623332282600_ref786","first-page":"1973","article-title":"\u201cFeature-based Product Review Summarization Utilizing User Score\u201d","volume":"26","author":"Yang","year":"(2010)","journal-title":"Journal of Information Science and Engineering"},{"key":"2026040623332282600_ref787","first-page":"245","article-title":"\u201cResponse Ranking with Deep Matching Networks and External Knowledge in Information-Seeking Conversation Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Yang","year":"(2018)"},{"key":"2026040623332282600_ref788","first-page":"2481","article-title":"\u201cComprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?\u201d","volume-title":"Proceedings of ACL-IJCNLP","author":"Yang","year":"(2021)"},{"key":"2026040623332282600_ref789","first-page":"2013","article-title":"\u201cWIKIQA: A Challenge Dataset for Open-Domain Question Answering\u201d","volume-title":"Proceedings of EMNLP","author":"Yang","year":"(2015)"},{"key":"2026040623332282600_ref790","first-page":"675","article-title":"\u201cAspect Extraction from Product Reviews Using Category Hierarchy Information\u201d","volume-title":"Proceedings of EACL","author":"Yang","year":"(2017)"},{"key":"2026040623332282600_ref791","first-page":"38","article-title":"\u201cSemantic Analysis and Helpfulness Prediction of Text for Online Product Reviews\u201d","volume-title":"Proceedings of ACL","author":"Yang","year":"(2015)"},{"key":"2026040623332282600_ref792","first-page":"2369","article-title":"\u201cHotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering\u201d","volume-title":"Proceedings of EMNLP","author":"Yang","year":"(2018)"},{"key":"2026040623332282600_ref793","first-page":"2373","article-title":"\u201cUSER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence\u201d","volume-title":"Proceedings of CIKM","author":"Yao","year":"(2021)"},{"key":"2026040623332282600_ref794","first-page":"189","article-title":"\u201cSpoken Language Understanding using Long Short-term Memory Neural Networks\u201d","volume-title":"Proceedings of SLT","author":"Yao","year":"(2014)"},{"key":"2026040623332282600_ref795","first-page":"2524","article-title":"\u201cRecurrent Neural Networks for Language Understanding\u201d","volume-title":"Proceedings of Interspeech","author":"Yao","year":"(2013)"},{"key":"2026040623332282600_ref796","first-page":"1660","article-title":"\u201cEfficient Neural Interaction Function Search for Collaborative Filtering\u201d","volume-title":"Proceedings of Web Conference","author":"Yao","year":"(2020)"},{"key":"2026040623332282600_ref797","first-page":"4363","article-title":"\u201cReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce\u201d","volume-title":"Proceedings of KDD","author":"Yao","year":"(2022)"},{"key":"2026040623332282600_ref798","first-page":"2740","article-title":"\u201cA Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback\u201d","volume-title":"Proceedings of Web Conference","author":"Yasui","year":"(2020)"},{"key":"2026040623332282600_ref799","first-page":"155","article-title":"\u201cStructured and Natural Responses Co-generation for Conversational Search\u201d","volume-title":"Proceedings of SIGIR","author":"Ye","year":"(2022)"},{"key":"2026040623332282600_ref800","first-page":"401","article-title":"\u201cFaceted Metadata for Image Search and Browsing\u201d","volume-title":"Proceedings of CHI","author":"Yee","year":"(2003)"},{"key":"2026040623332282600_ref801","unstructured":"Yi\n              J.\n            \n            \n              Wu\n              F.\n            \n            \n              Wu\n              C.\n            \n            \n              Li\n              Q.\n            \n            \n              Sun\n              G.\n            \n            \n              Xie\n              X.\n            \n          \n          (2021)\n          \u201cDebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation\u201d\n          arXiv preprint arXiv:2104.07360"},{"key":"2026040623332282600_ref802","first-page":"113","article-title":"\u201cBeyond Clicks: Dwell Time for Personalization\u201d","volume-title":"Proceedings of RecSys","author":"Yi","year":"(2014)"},{"key":"2026040623332282600_ref803","first-page":"269","article-title":"\u201cSampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations\u201d","volume-title":"Proceedings of RecSys","author":"Yi","year":"(2019)"},{"key":"2026040623332282600_ref804","first-page":"1561","article-title":"\u201cExpected Browsing Utility for Web Search Evaluation\u201d","volume-title":"Proceedings of CIKM","author":"Yilmaz","year":"(2010)"},{"key":"2026040623332282600_ref805","first-page":"1543","article-title":"\u201cA Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems\u201d","volume-title":"Proceedings of SIGMOD","author":"Yin","year":"(2014)"},{"issue":"(3)","key":"2026040623332282600_ref806","article-title":"\u201cDynamic User Modeling in Social Media Systems\u201d","volume":"33","author":"Yin","year":"(2015)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref807","first-page":"2972","article-title":"\u201cNeural Generative Question Answering\u201d","volume-title":"Proceedings of IJCAI","author":"Yin","year":"(2016)"},{"key":"2026040623332282600_ref808","first-page":"989","article-title":"\u201cSilence is Also Evidence: Interpreting Dwell Time for Recommendation from Psychological Perspective\u201d","volume-title":"Proceedings of KDD","author":"Yin","year":"(2013)"},{"key":"2026040623332282600_ref809","first-page":"9474","article-title":"\u201cDialog State Tracking with Reinforced Data Augmentation\u201d","volume-title":"Proceedings of AAAI","author":"Yin","year":"(2020)"},{"key":"2026040623332282600_ref810","first-page":"974","article-title":"\u201cGraph Convolutional Neural Networks for Web-Scale Recommender Systems\u201d","volume-title":"Proceedings of KDD","author":"Ying","year":"(2018)"},{"key":"2026040623332282600_ref811","unstructured":"Yoshikawa\n              Y.\n            \n            \n              Imai\n              Y.\n            \n          \n          (2018)\n          \u201cA Nonparametric Delayed Feedback Model for Conversion Rate Prediction\u201d\n          arXiv preprint arXiv:1802.00255"},{"issue":"(2)","key":"2026040623332282600_ref812","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.csl.2009.04.001","article-title":"\u201cThe Hidden Information State Model: A Practical Framework for POMDP-based Spoken Dialogue Management\u201d","volume":"24","author":"Young","year":"(2010)","journal-title":"Computer Speech & Language"},{"issue":"(5)","key":"2026040623332282600_ref813","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1109\/JPROC.2012.2225812","article-title":"\u201cPOMDP-Based Statistical Spoken Dialog Systems: A Review\u201d","volume":"101","author":"Young","year":"(2013)","journal-title":"Proceedings of IEEE"},{"key":"2026040623332282600_ref814","first-page":"4961","article-title":"\u201cKG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-domain Question Answering\u201d","volume-title":"Proceedings of ACL","author":"Yu","year":"(2022)"},{"key":"2026040623332282600_ref815","first-page":"729","article-title":"\u201cA Dynamic Recurrent Model for Next Basket Recommendation\u201d","volume-title":"Proceedings of SIGIR","author":"Yu","year":"(2016)"},{"issue":"(98)","key":"2026040623332282600_ref816","first-page":"1","article-title":"\u201cPecos: Prediction for Enormous and Correlated Output Spaces\u201d","volume":"23","author":"Yu","year":"(2022)","journal-title":"Journal of Machine Learning Research"},{"key":"2026040623332282600_ref817","first-page":"682","article-title":"\u201cModelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce\u201d","volume-title":"Proceedings of WSDM","author":"Yu","year":"(2018)"},{"key":"2026040623332282600_ref818","first-page":"391","article-title":"\u201cAnswering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews\u201d","volume-title":"Proceedings of EMNLP-CoNLL","author":"Yu","year":"(2012)"},{"key":"2026040623332282600_ref819","first-page":"140","article-title":"\u201cDomain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews\u201d","volume-title":"Proceedings of EMNLP","author":"Yu","year":"(2011)"},{"key":"2026040623332282600_ref820","first-page":"4422","article-title":"\u201cXDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation\u201d","volume-title":"Proceedings of KDD","author":"Yu","year":"(2022)"},{"key":"2026040623332282600_ref821","first-page":"1083","article-title":"\u201cPredicting Temporal Sets with Deep Neural Networks\u201d","volume-title":"Proceedings of KDD","author":"Yu","year":"(2020)"},{"key":"2026040623332282600_ref822","first-page":"691","article-title":"\u201cReview-Aware Answer Prediction for Product-Related Questions Incorporating Aspects\u201d","volume-title":"Proceedings of WSDM","author":"Yu","year":"(2018)"},{"key":"2026040623332282600_ref823","first-page":"157","article-title":"\u201cA Visual Dialog Augmented Interactive Recommender System\u201d","volume-title":"Proceedings of KDD","author":"Yu","year":"(2019)"},{"key":"2026040623332282600_ref824","first-page":"416","article-title":"\u201cA Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval\u201d","volume-title":"Proceedings of Web Conference","author":"Yuan","year":"(2023)"},{"key":"2026040623332282600_ref825","first-page":"111","article-title":"\u201cMulti-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots\u201d","volume-title":"Proceedings of EMNLP-IJCNLP","author":"Yuan","year":"(2019)"},{"key":"2026040623332282600_ref826","doi-asserted-by":"crossref","DOI":"10.1109\/ICDE53745.2022.00261","article-title":"\u201cMicro-Behavior Encoding for Session-based Recommendation\u201d","volume-title":"Proceedings of ICDE","author":"Yuan","year":"(2022)"},{"key":"2026040623332282600_ref827","first-page":"749","article-title":"\u201cMCIC: Multimodal Conversational Intent Classification for E-commerce Customer Service\u201d","volume-title":"Proceedings of NLPCC","author":"Yuan","year":"(2022)"},{"key":"2026040623332282600_ref828","first-page":"1201","article-title":"\u201cInteractively Optimizing Information Retrieval Systems as a Dueling Bandits Problem\u201d","volume-title":"Proceedings of ICML","author":"Yue","year":"(2009)"},{"key":"2026040623332282600_ref829","first-page":"418","article-title":"\u201cGenerating Clarifying Questions for Information Retrieval\u201d","volume-title":"Proceedings of Web Conference","author":"Zamani","year":"(2020)"},{"key":"2026040623332282600_ref830","doi-asserted-by":"crossref","unstructured":"Zamani\n              H.\n            \n            \n              Trippas\n              J. R.\n            \n            \n              Dalton\n              J.\n            \n            \n              Radlinski\n              F.\n            \n          \n          (2022)\n          \u201cConversational Information Seeking\u201d\n          arXiv preprint arXiv:2201.08808","DOI":"10.1561\/9781638282013"},{"key":"2026040623332282600_ref831","first-page":"168","article-title":"\u201cTowards Automatic Generation of Product Reviews from Aspect-Sentiment Scores\u201d","volume-title":"Proceedings of INLG","author":"Zang","year":"(2017)"},{"key":"2026040623332282600_ref832","first-page":"1569","article-title":"\u201cFA*IR: A Fair Top-k Ranking Algorithm\u201d","volume-title":"Proceedings of CIKM","author":"Zehlike","year":"(2017)"},{"key":"2026040623332282600_ref833","first-page":"2407","article-title":"\u201cTowards Personalized and Semantic Retrieval: An End-to-End Solution for E-Commerce Search via Embedding Learning\u201d","volume-title":"Proceedings of SIGIR","author":"Zhang","year":"(2020)"},{"key":"2026040623332282600_ref834","first-page":"33","article-title":"\u201cAttribute-augmented Semantic Hierarchy: Towards Bridging Semantic Gap and Intention Gap in Image Retrieval\u201d","volume-title":"Proceedings of MM","author":"Zhang","year":"(2013)"},{"key":"2026040623332282600_ref835","first-page":"1114","article-title":"\u201cEffectiveness of Pre-training for Few-shot Intent Classification\u201d","volume-title":"Findings of EMNLP","author":"Zhang","year":"(2021)"},{"key":"2026040623332282600_ref836","first-page":"64","article-title":"\u201cMulti-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce\u201d","volume-title":"Proceedings of NAACL","author":"Zhang","year":"(2019)"},{"issue":"1","key":"2026040623332282600_ref837","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3158369","article-title":"\u201cDeep Learning Based Recommender System: A Survey and New Perspectives\u201d","volume":"52","author":"Zhang","year":"(2019)","journal-title":"ACM Computing Surveys"},{"key":"2026040623332282600_ref838","first-page":"1512","article-title":"\u201cEvaluating Conversational Recommender Systems via User Simulation\u201d","volume-title":"Proceedings of KDD","author":"Zhang","year":"(2020)"},{"key":"2026040623332282600_ref839","first-page":"133","article-title":"\u201cAnalyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Zhang","year":"(2022)"},{"key":"2026040623332282600_ref840","first-page":"2355","article-title":"\u201cAutomatic Generation of Pattern-Controlled Product Description in E-Commerce\u201d","volume-title":"Proceedings of Web Conference","author":"Zhang","year":"(2019)"},{"key":"2026040623332282600_ref841","first-page":"45","article-title":"\u201cDeep Learning over Multi-field Categorical Data\u201d","volume-title":"Proceedings of ECIR","author":"Zhang","year":"(2016)"},{"key":"2026040623332282600_ref842","doi-asserted-by":"crossref","unstructured":"Zhang\n              W.\n            \n            \n              Qin\n              J.\n            \n            \n              Guo\n              W.\n            \n            \n              Tang\n              R.\n            \n            \n              He\n              X.\n            \n          \n          (2021)\n          \u201cDeep Learning for Click-through Rate Estimation\u201d\n          arXiv preprint arXiv:2104.10584","DOI":"10.24963\/ijcai.2021\/636"},{"key":"2026040623332282600_ref843","first-page":"2775","article-title":"\u201cLarge-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning\u201d","volume-title":"Proceedings of Web Conference","author":"Zhang","year":"(2020)"},{"key":"2026040623332282600_ref844","first-page":"569","article-title":"\u201cAnswer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling\u201d","volume-title":"Proceedings of SIGIR","author":"Zhang","year":"(2020)"},{"key":"2026040623332282600_ref845","first-page":"83","article-title":"\u201cExplicit Factor Models for Explainable Recommendation Based on Phrase-level Sentiment Analysis\u201d","volume-title":"Proceedings of SIGIR","author":"Zhang","year":"(2014)"},{"key":"2026040623332282600_ref846","first-page":"73","article-title":"\u201cEconomic Recommendation with Surplus Maximization\u201d","volume-title":"Proceedings of Web Conference","author":"Zhang","year":"(2016)"},{"key":"2026040623332282600_ref847","first-page":"1521","article-title":"\u201cPredicting Purchase Behaviors from Social Media\u201d","volume-title":"Proceedings of Web Conference","author":"Zhang","year":"(2013)"},{"key":"2026040623332282600_ref848","first-page":"2390","article-title":"\u201cNeural IR Meets Graph Embedding: A Ranking Model for Product Search\u201d","volume-title":"Proceedings of Web Conference","author":"Zhang","year":"(2019)"},{"key":"2026040623332282600_ref849","first-page":"1388","article-title":"\u201cUser-click Modeling for Understanding and Predicting Search-behavior\u201d","volume-title":"Proceedings of KDD","author":"Zhang","year":"(2011)"},{"issue":"3","key":"2026040623332282600_ref850","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3317612","article-title":"\u201cMemory-augmented Dialogue Management for Task-oriented Dialogue Systems\u201d","volume":"37","author":"Zhang","year":"(2019)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref851","doi-asserted-by":"crossref","unstructured":"Zhang\n              Z.\n            \n            \n              Takanobu\n              R.\n            \n            \n              Huang\n              M.\n            \n            \n              Zhu\n              X.\n            \n          \n          (2020)\n          \u201cRecent Advances and Challenges in Task-oriented Dialog System\u201d\n          arXiv preprint arXiv:2003.07490","DOI":"10.1007\/s11431-020-1692-3"},{"key":"2026040623332282600_ref852","first-page":"3740","article-title":"\u201cModeling Multi-turn Conversation with Deep Utterance Aggregation\u201d","volume-title":"Proceedings of COLING","author":"Zhang","year":"(2018)"},{"key":"2026040623332282600_ref853","first-page":"1389","article-title":"\u201cRiker: Mining Rich Keyword Representations for Interpretable Product Question Answering\u201d","volume-title":"Proceedings of KDD","author":"Zhao","year":"(2019)"},{"key":"2026040623332282600_ref854","first-page":"1461","article-title":"\u201cJoint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network\u201d","volume-title":"Proceedings of WSDM","author":"Zhao","year":"(2022)"},{"key":"2026040623332282600_ref855","first-page":"1066","article-title":"\u201cPersonalized Abstractive Opinion Tagging\u201d","volume-title":"Proceedings of SIGIR","author":"Zhao","year":"(2022)"},{"key":"2026040623332282600_ref856","first-page":"61","article-title":"\u201cData-driven Scene Marketing Based on Consumer Insight\u201d","volume-title":"Proceedings of BDEIM","author":"Zhao","year":"(2020)"},{"key":"2026040623332282600_ref857","unstructured":"Zhao\n              N.\n            \n            \n              Li\n              H.\n            \n            \n              Wu\n              Y.\n            \n            \n              He\n              X.\n            \n            \n              Zhou\n              B.\n            \n          \n          (2021)\n          \u201cThe JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service\u201d\n          arXiv preprint arXiv:2109.12913"},{"key":"2026040623332282600_ref858","first-page":"435","article-title":"\u201cMulti-Product Utility Maximization for Economic Recommendation\u201d","volume-title":"Proceedings of WSDM","author":"Zhao","year":"(2017)"},{"key":"2026040623332282600_ref859","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18653\/v1\/W16-3601","article-title":"\u201cTowards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning\u201d","volume-title":"Proceedings of the Annual Meeting of the Special Interest Group on Discourse and Dialogue","author":"Zhao","year":"(2016)"},{"key":"2026040623332282600_ref860","first-page":"3959","article-title":"\u201cAutoLoss: Automated Loss Function Search in Recommendations\u201d","volume-title":"Proceedings of KDD","author":"Zhao","year":"(2021)"},{"key":"2026040623332282600_ref861","first-page":"752","article-title":"\u201cMultiple Knowledge Syncretic Transformer for Natural Dialogue Generation\u201d","volume-title":"Proceedings of Web Conference","author":"Zhao","year":"(2020)"},{"key":"2026040623332282600_ref862","unstructured":"Zhao\n              X.\n            \n            \n              Xia\n              L.\n            \n            \n              Ding\n              Z.\n            \n            \n              Yin\n              D.\n            \n            \n              Tang\n              J.\n            \n          \n          (2019)\n          \u201cToward Simulating Environments in Reinforcement Learning Based Recommendations\u201d\n          arXiv preprint arXiv:1906.11462"},{"key":"2026040623332282600_ref863","first-page":"1411","article-title":"\u201cInteractive Collaborative Filtering\u201d","volume-title":"Proceedings of CIKM","author":"Zhao","year":"(2013)"},{"key":"2026040623332282600_ref864","first-page":"5443","article-title":"\u201cA Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots\u201d","volume-title":"Proceedings of IJCAI","author":"Zhao","year":"(2019)"},{"key":"2026040623332282600_ref865","article-title":"\u201cLow-Resource Knowledge-Grounded Dialogue Generation\u201d","volume-title":"Proceedings of ICLR","author":"Zhao","year":"(2019)"},{"key":"2026040623332282600_ref866","first-page":"3377","article-title":"\u201cKnowledge-Grounded Dialogue Generation with Pre-trained Language Models\u201d","volume-title":"Proceedings of EMNLP","author":"Zhao","year":"(2020)"},{"key":"2026040623332282600_ref867","unstructured":"Zhao\n              Y.\n            \n            \n              Wu\n              W.\n            \n            \n              Xu\n              C.\n            \n          \n          (2020)\n          \u201cAre Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?\u201d\n          arXiv preprint arXiv:2011.09708"},{"key":"2026040623332282600_ref868","first-page":"624","article-title":"\u201cWGCN: Graph Convolutional Networks with Weighted Structural Features\u201d","volume-title":"Proceedings of SIGIR","author":"Zhao","year":"(2021)"},{"key":"2026040623332282600_ref869","first-page":"115","article-title":"\u201cDifference-aware Knowledge Selection for Knowledge-grounded Conversation Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Zheng","year":"(2020)"},{"key":"2026040623332282600_ref870","first-page":"3581","article-title":"\u201cApproximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation\u201d","volume-title":"Proceedings of EMNLP","author":"Zheng","year":"(2020)"},{"key":"2026040623332282600_ref871","first-page":"709","article-title":"\u201cEnhancing Conversational Dialogue Models with Grounded Knowledge\u201d","volume-title":"Proceedings of CIKM","author":"Zheng","year":"(2019)"},{"key":"2026040623332282600_ref872","first-page":"355","article-title":"\u201cIncorporating Post-click Behaviors into a Click Model\u201d","volume-title":"Proceedings of SIGIR","author":"Zhong","year":"(2010)"},{"key":"2026040623332282600_ref873","first-page":"11765","article-title":"\u201cDialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization\u201d","volume-title":"Proceedings of AAAI","author":"Zhong","year":"(2022)"},{"key":"2026040623332282600_ref874","first-page":"7492","article-title":"\u201cAn Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss\u201d","volume-title":"Proceedings of AAAI","author":"Zhong","year":"(2019)"},{"key":"2026040623332282600_ref875","first-page":"6556","article-title":"\u201cTowards Persona-Based Empathetic Conversational Models\u201d","volume-title":"Proceedings of EMNLP","author":"Zhong","year":"(2020)"},{"key":"2026040623332282600_ref876","first-page":"5941","article-title":"\u201cDeep Interest Evolution Network for Click-through Rate Prediction\u201d","volume-title":"Proceedings of AAAI","author":"Zhou","year":"(2019)"},{"key":"2026040623332282600_ref877","first-page":"1059","article-title":"\u201cDeep Interest Network for Click-through Rate Prediction\u201d","volume-title":"Proceedings of KDD","author":"Zhou","year":"(2018)"},{"key":"2026040623332282600_ref878","first-page":"2032","article-title":"\u201cContext-aware Natural Language Generation for Spoken Dialogue Systems\u201d","volume-title":"Proceedings of COLING","author":"Zhou","year":"(2016)"},{"key":"2026040623332282600_ref879","first-page":"730","article-title":"\u201cEmotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory\u201d","volume-title":"Proceedings of AAAI","author":"Zhou","year":"(2018)"},{"key":"2026040623332282600_ref880","first-page":"1488","article-title":"\u201cC2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System\u201d","volume-title":"Proceedings of WSDM","author":"Zhou","year":"(2022)"},{"key":"2026040623332282600_ref881","unstructured":"Zhou\n              Y.\n            \n            \n              Yao\n              J.\n            \n            \n              Dou\n              Z.\n            \n            \n              Wu\n              L.\n            \n            \n              Zhang\n              P.\n            \n            \n              Wen\n              J.-R.\n            \n          \n          (2022)\n          \u201cUltron: An Ultimate Retriever on Corpus with a Model-based Indexer\u201d\n          arXiv preprint arXiv:2208.09257"},{"key":"2026040623332282600_ref882","article-title":"\u201cAIM: Automatic Interaction Machine for Click-Through Rate Prediction\u201d","author":"Zhu","year":"(2021)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"2026040623332282600_ref883","first-page":"2191","article-title":"\u201cOptimized Cost per Click in Taobao Display Advertising\u201d","volume-title":"Proceedings of KDD","author":"Zhu","year":"(2017)"},{"key":"2026040623332282600_ref884","first-page":"1079","article-title":"\u201cLearning Tree-Based Deep Model for Recommender Systems\u201d","volume-title":"Proceedings of KDD","author":"Zhu","year":"(2018)"},{"key":"2026040623332282600_ref885","first-page":"2912","article-title":"\u201cBars: Towards Open Benchmarking for Recommender Systems\u201d","volume-title":"Proceedings of SIGIR","author":"Zhu","year":"(2022)"},{"key":"2026040623332282600_ref886","first-page":"2759","article-title":"\u201cOpen Benchmarking for Click-through Rate Prediction\u201d","volume-title":"Proceedings of CIKM","author":"Zhu","year":"(2021)"},{"key":"2026040623332282600_ref887","doi-asserted-by":"crossref","first-page":"4643","DOI":"10.1109\/TIP.2020.2974065","article-title":"\u201cDeep Collaborative Multi-View Hashing for Large-Scale Image Search\u201d","volume":"29","author":"Zhu","year":"(2020)","journal-title":"IEEE Transactions on Image Processing"},{"key":"2026040623332282600_ref888","first-page":"3746","article-title":"\u201cCross-Domain Product Search with Knowledge Graph\u201d","volume-title":"Proceedings of CIKM","author":"Zhu","year":"(2022)"},{"key":"2026040623332282600_ref889","first-page":"766","article-title":"\u201cEfficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking\u201d","volume-title":"Proceedings of EMNLP","author":"Zhu","year":"(2020)"},{"key":"2026040623332282600_ref890","doi-asserted-by":"crossref","unstructured":"Zhu\n              Y.\n            \n            \n              Pang\n              L.\n            \n            \n              Lan\n              Y.\n            \n            \n              Shen\n              H.\n            \n            \n              Cheng\n              X.\n            \n          \n          (2021)\n          \u201cAdaptive Information Seeking for Open-Domain Question Answering\u201d\n          arXiv preprint arXiv:2109.06747","DOI":"10.18653\/v1\/2021.emnlp-main.293"},{"key":"2026040623332282600_ref891","first-page":"307","article-title":"\u201cCopeland Dueling Bandits\u201d","volume-title":"Proceedings of NIPS","author":"Zoghi","year":"(2015)"},{"key":"2026040623332282600_ref892","article-title":"\u201cLearning to Ask: Conversational Product Search via Representation Learning\u201d","author":"Zou","year":"(2022)","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040623332282600_ref893","first-page":"2319","article-title":"\u201cImproving Conversational Recommender Systems via Transformer-based Sequential Modelling\u201d","volume-title":"Proceedings of SIGIR","author":"Zou","year":"(2022)"},{"key":"2026040623332282600_ref894","first-page":"95","article-title":"\u201cReinforcement Learning to Optimize Long-term User Engagement in Recommender Systems\u201d","volume-title":"Proceedings of KDD","author":"Zou","year":"(2020)"},{"key":"2026040623332282600_ref895","first-page":"749","article-title":"\u201cNeural Interactive Collaborative Filtering\u201d","volume-title":"Proceedings of SIGIR","author":"Zou","year":"(2020)"},{"key":"2026040623332282600_ref896","first-page":"4014","article-title":"\u201cPre-trained Language Model based Ranking in Baidu Search\u201d","volume-title":"Proceedings of KDD","author":"Zou","year":"(2021)"}],"container-title":["Foundations and Trends\u00ae in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/ftinr\/article-pdf\/18\/4-5\/417\/11494081\/1500000097en.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/www.emerald.com\/ftinr\/article-pdf\/18\/4-5\/417\/11494081\/1500000097en.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T03:37:19Z","timestamp":1775533039000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/ftinr\/article\/18\/4-5\/417\/1328694\/Information-Discovery-in-E-commerce"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,31]]},"references-count":890,"journal-issue":{"issue":"4-5","published-print":{"date-parts":[[2024,12,31]]}},"URL":"https:\/\/doi.org\/10.1561\/1500000097","relation":{},"ISSN":["1554-0669","1554-0677"],"issn-type":[{"value":"1554-0669","type":"print"},{"value":"1554-0677","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,31]]}}}