{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:10:05Z","timestamp":1755889805059,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100006374","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2106391"],"award-info":[{"award-number":["IIS-2106391"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,13]]},"DOI":"10.1145\/3726302.3729913","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:18:36Z","timestamp":1752455916000},"page":"2309-2319","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Bridging Personalization and Control in Scientific Personalized Search"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6453-3242","authenticated-orcid":false,"given":"Sheshera","family":"Mysore","sequence":"first","affiliation":[{"name":"University of Massachusetts, Amherst, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8743-3875","authenticated-orcid":false,"given":"Garima","family":"Dhanania","sequence":"additional","affiliation":[{"name":"University of Massachusetts, Amherst, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8370-5396","authenticated-orcid":false,"given":"Kishor","family":"Patil","sequence":"additional","affiliation":[{"name":"Lowe's Companies, Inc, Bangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5638-0482","authenticated-orcid":false,"given":"Surya","family":"Kallumadi","sequence":"additional","affiliation":[{"name":"Coursera, Mountain View, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2843-6992","authenticated-orcid":false,"given":"Andrew","family":"McCallum","sequence":"additional","affiliation":[{"name":"University of Massachusetts, Amherst, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0800-3340","authenticated-orcid":false,"given":"Hamed","family":"Zamani","sequence":"additional","affiliation":[{"name":"University of Massachusetts, Amherst, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2678025.2701410"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"Qingyao Ai Daniel N. Hill S. V. N. Vishwanathan and W. Bruce Croft. 2019. A Zero Attention Model for Personalized Product Search. In CIKM. 10 pages. https:\/\/doi.org\/10.1145\/3357384.3357980","DOI":"10.1145\/3357384.3357980"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","unstructured":"Qingyao Ai Yongfeng Zhang Keping Bi Xu Chen and W. Bruce Croft. 2017. Learning a Hierarchical Embedding Model for Personalized Product Search. In SIGIR. 10 pages. https:\/\/doi.org\/10.1145\/3077136.3080813","DOI":"10.1145\/3077136.3080813"},{"volume-title":"Advances in Information Retrieval","author":"Arabzadeh Negar","key":"e_1_3_2_1_4_1","unstructured":"Negar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, and Ebrahim Bagheri. 2024. Query Performance Prediction: From Fundamentals to\u00a0Advanced Techniques. In Advances in Information Retrieval, Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, and Iadh Ounis (Eds.). Springer Nature Switzerland, Cham, 381-388."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3382715"},{"key":"e_1_3_2_1_6_1","first-page":"265","article-title":"Transparent, scrutable and explainable user models for personalized recommendation","author":"Balog Krisztian","year":"2019","unstructured":"Krisztian Balog, Filip Radlinski, and Shushan Arakelyan. 2019. Transparent, scrutable and explainable user models for personalized recommendation. In SIGIR. 265-274.","journal-title":"SIGIR."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","unstructured":"Elias Bassani Pranav Kasela Alessandro Raganato and Gabriella Pasi. 2022. A Multi-Domain Benchmark for Personalized Search Evaluation. In CIKM. 6 pages. https:\/\/doi.org\/10.1145\/3511808.3557536","DOI":"10.1145\/3511808.3557536"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","unstructured":"Michael Bendersky Xuanhui Wang Donald Metzler and Marc Najork. 2017. Learning from User Interactions in Personal Search via Attribute Parameterization. In WSDM. 9 pages. https:\/\/doi.org\/10.1145\/3018661.3018712","DOI":"10.1145\/3018661.3018712"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","unstructured":"Paul N. Bennett Ryen W. White Wei Chu Susan T. Dumais Peter Bailey Fedor Borisyuk and Xiaoyuan Cui. 2012. Modeling the Impact of Short- and Long-Term Behavior on Search Personalization. In SIGIR. 10 pages. https:\/\/doi.org\/10.1145\/2348283.2348312","DOI":"10.1145\/2348283.2348312"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"Keping Bi Qingyao Ai and W. Bruce Croft. 2020. A Transformer-Based Embedding Model for Personalized Product Search. In SIGIR. 4 pages. https:\/\/doi.org\/10.1145\/3397271.3401192","DOI":"10.1145\/3397271.3401192"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450110"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","unstructured":"Fei Cai Shangsong Liang and Maarten de Rijke. 2014. Personalized Document Re-Ranking Based on Bayesian Probabilistic Matrix Factorization. In SIGIR. 4 pages. https:\/\/doi.org\/10.1145\/2600428.2609453","DOI":"10.1145\/2600428.2609453"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"Shuo Chang F. Maxwell Harper and Loren Terveen. 2015. Using Groups of Items for Preference Elicitation in Recommender Systems. In CSCW. 12 pages. https:\/\/doi.org\/10.1145\/2675133.2675210","DOI":"10.1145\/2675133.2675210"},{"key":"e_1_3_2_1_14_1","volume-title":"Fairness Vs. Personalization: Towards Equity in Epistemic Utility. FAccTRec 2023 at RecSys","author":"Chien Jennifer","year":"2023","unstructured":"Jennifer Chien and David Danks. 2023. Fairness Vs. Personalization: Towards Equity in Epistemic Utility. FAccTRec 2023 at RecSys (2023)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","unstructured":"Daniel Cohen Bhaskar Mitra Oleg Lesota Navid Rekabsaz and Carsten Eickhoff. 2021. Not All Relevance Scores Are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. In SIGIR. 11 pages. https:\/\/doi.org\/10.1145\/3404835.3462951","DOI":"10.1145\/3404835.3462951"},{"key":"e_1_3_2_1_16_1","first-page":"2292","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","volume":"26","author":"Cuturi Marco","year":"2013","unstructured":"Marco Cuturi. 2013. Sinkhorn distances: Lightspeed computation of optimal transport. NeurIPS, Vol. 26 (2013), 2292-2300.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"Shitong Dai Jiongnan Liu Zhicheng Dou Haonan Wang Lin Liu Bo Long and Ji-Rong Wen. 2023. Contrastive Learning for User Sequence Representation in Personalized Product Search. In KDD. 10 pages. https:\/\/doi.org\/10.1145\/3580305.3599287","DOI":"10.1145\/3580305.3599287"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Shehzaad Dhuliawala Leonard Adolphs Rajarshi Das and Mrinmaya Sachan. 2022. Calibration of Machine Reading Systems at Scale. In ACL Findings. https:\/\/aclanthology.org\/2022.findings-acl.133","DOI":"10.18653\/v1\/2022.findings-acl.133"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","unstructured":"Cecilia di Sciascio Eduardo Veas Jordan Barria-Pineda and Colleen Culley. 2020. Understanding the Effects of Control and Transparency in Searching as Learning. In IUI. 12 pages. https:\/\/doi.org\/10.1145\/3377325.3377524","DOI":"10.1145\/3377325.3377524"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860451"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302262"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","unstructured":"Songwei Ge Zhicheng Dou Zhengbao Jiang Jian-Yun Nie and Ji-Rong Wen. 2018. Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. In CIKM. 10 pages. https:\/\/doi.org\/10.1145\/3269206.3271728","DOI":"10.1145\/3269206.3271728"},{"key":"e_1_3_2_1_23_1","volume-title":"Weinberger","author":"Guo Chuan","year":"2017","unstructured":"Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger. 2017. On calibration of modern neural networks. In ICML (Sydney, NSW, Australia). 1321-1330."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","unstructured":"Viet Ha-Thuc and Shakti Sinha. 2016. Learning to Rank Personalized Search Results in Professional Networks. In SIGIR. 2 pages. https:\/\/doi.org\/10.1145\/2911451.2927018","DOI":"10.1145\/2911451.2927018"},{"key":"e_1_3_2_1_25_1","volume-title":"Personalized Search for everyone. https:\/\/googleblog.blogspot.com\/2009\/12\/personalized-search-for-everyone.html. Accessed","author":"Horling Bryan","year":"2024","unstructured":"Bryan Horling and Matthew Kulick. 2009. Personalized Search for everyone. https:\/\/googleblog.blogspot.com\/2009\/12\/personalized-search-for-everyone.html. Accessed: 12 Jan 2024."},{"key":"e_1_3_2_1_26_1","volume-title":"International Conference on Electronic Commerce and Web Technologies. Springer, 21-33","author":"Jannach Dietmar","year":"2016","unstructured":"Dietmar Jannach, Sidra Naveed, and Michael Jugovac. 2016. User control in recommender systems: Overview and interaction challenges. In International Conference on Electronic Commerce and Web Technologies. Springer, 21-33."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380051"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018736"},{"key":"e_1_3_2_1_29_1","first-page":"35","volume-title":"Workshop on Interfaces and Human Decision Making for Recommender Systems at RecSys","volume":"1884","author":"Jin Yucheng","year":"2017","unstructured":"Yucheng Jin, Bruno Cardoso, and Katrien Verbert. 2017. How do different levels of user control affect cognitive load and acceptance of recommendations?. In Workshop on Interfaces and Human Decision Making for Recommender Systems at RecSys, Vol. 1884. CEUR Workshop Proceedings, 35-42."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043960"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v42i3.18142"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02181-7"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3291006"},{"key":"e_1_3_2_1_34_1","volume-title":"Mark Neumann, Rodney Kinney, and Daniel Weld.","author":"Lo Kyle","year":"2020","unstructured":"Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel Weld. 2020. S2ORC: The Semantic Scholar Open Research Corpus. In ACL. https:\/\/www.aclweb.org\/anthology\/2020.acl-main.447"},{"volume-title":"Advances in Information Retrieval, Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil N\u00f8rv\u00e5g","author":"MacAvaney Sean","key":"e_1_3_2_1_35_1","unstructured":"Sean MacAvaney, Craig Macdonald, and Iadh Ounis. 2022. Reproducing Personalised Session Search Over the AOL Query Log. In Advances in Information Retrieval, Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil N\u00f8rv\u00e5g, and Vinay Setty (Eds.). Springer International Publishing, Cham, 627-640."},{"key":"e_1_3_2_1_36_1","volume-title":"Seungyeon Kim, Sashank Reddi, and Sanjiv Kumar.","author":"Menon Aditya","year":"2022","unstructured":"Aditya Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank Reddi, and Sanjiv Kumar. 2022. In defense of dual-encoders for neural ranking. In ICML, Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). https:\/\/proceedings.mlr.press\/v162\/menon22a.html"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","unstructured":"Sheshera Mysore Mahmood Jasim Andrew Mccallum and Hamed Zamani. 2023. Editable User Profiles for Controllable Text Recommendations. In SIGIR. 11 pages. https:\/\/doi.org\/10.1145\/3539618.3591677","DOI":"10.1145\/3539618.3591677"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543873.3587675"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000073"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380046"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","unstructured":"Filip Radlinski and Susan Dumais. 2006. Improving Personalized Web Search Using Result Diversification. In SIGIR. 2 pages. https:\/\/doi.org\/10.1145\/1148170.1148320","DOI":"10.1145\/1148170.1148320"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3231593"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2700171.2791039"},{"key":"e_1_3_2_1_44_1","volume-title":"LaMP: When Large Language Models Meet Personalization. arxiv:2304","author":"Salemi Alireza","year":"2023","unstructured":"Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023. LaMP: When Large Language Models Meet Personalization. arxiv:2304.11406"},{"key":"e_1_3_2_1_45_1","unstructured":"Kaitao Song Xu Tan Tao Qin Jianfeng Lu and Tie-Yan Liu. 2020. MPNet: Masked and Permuted Pre-training for Language Understanding. In NeurIPS. ACM. https:\/\/www.microsoft.com\/en-us\/research\/publication\/mpnet-masked-and-permuted-pre-training-for-language-understanding\/"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","unstructured":"David Sontag Kevyn Collins-Thompson Paul N. Bennett Ryen W. White Susan Dumais and Bodo Billerbeck. 2012. Probabilistic Models for Personalizing Web Search. In WSDM. 10 pages. https:\/\/doi.org\/10.1145\/2124295.2124348","DOI":"10.1145\/2124295.2124348"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","unstructured":"Jaime Teevan Susan T. Dumais and Eric Horvitz. 2005. Personalizing Search via Automated Analysis of Interests and Activities. In SIGIR. 8 pages. https:\/\/doi.org\/10.1145\/1076034.1076111","DOI":"10.1145\/1076034.1076111"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390364"},{"key":"e_1_3_2_1_49_1","volume-title":"BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In NeurIPS Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=wCu6T5xFjeJ","author":"Thakur Nandan","year":"2021","unstructured":"Nandan Thakur, Nils Reimers, Andreas R\u00fcckl\u00e9, Abhishek Srivastava, and Iryna Gurevych. 2021. BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In NeurIPS Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=wCu6T5xFjeJ"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","unstructured":"David Vallet and Pablo Castells. 2012. Personalized Diversification of Search Results. In SIGIR. 10 pages. https:\/\/doi.org\/10.1145\/2348283.2348396","DOI":"10.1145\/2348283.2348396"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3631989"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","unstructured":"Xuanhui Wang Michael Bendersky Donald Metzler and Marc Najork. 2016. Learning to Rank with Selection Bias in Personal Search. In SIGIR. 10 pages. https:\/\/doi.org\/10.1145\/2911451.2911537","DOI":"10.1145\/2911451.2911537"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Nishant Yadav Nicholas Monath Rico Angell Manzil Zaheer and Andrew McCallum. 2022. Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization. In EMNLP. https:\/\/aclanthology.org\/2022.emnlp-main.140","DOI":"10.18653\/v1\/2022.emnlp-main.140"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","unstructured":"Le Yan Zhen Qin Xuanhui Wang Michael Bendersky and Marc Najork. 2022. Scale Calibration of Deep Ranking Models. In KDD. 10 pages. https:\/\/doi.org\/10.1145\/3534678.3539072","DOI":"10.1145\/3534678.3539072"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313540"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","unstructured":"Jing Yao Zhicheng Dou and Ji-Rong Wen. 2020. Employing Personal Word Embeddings for Personalized Search. In SIGIR. 10 pages. https:\/\/doi.org\/10.1145\/3397271.3401153","DOI":"10.1145\/3397271.3401153"},{"key":"e_1_3_2_1_57_1","volume-title":"Real-Time Personalized Ranking in E-commerce Search. ECommerce Workshop at SIGIR","author":"Yu Lucia","year":"2021","unstructured":"Lucia Yu, Ethan Benjamin, Congzhe Su, Yinlin Fu, Jon Eskreis-Winkler, Xiaoting Zhao, and Diane Hu. 2021. Real-Time Personalized Ranking in E-commerce Search. ECommerce Workshop at SIGIR (2021)."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","unstructured":"Hamed Zamani and Michael Bendersky. 2023. Multivariate Representation Learning for Information Retrieval. In SIGIR. 11 pages. https:\/\/doi.org\/10.1145\/3539618.3591740","DOI":"10.1145\/3539618.3591740"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","unstructured":"Hamed Zamani Michael Bendersky Xuanhui Wang and Mingyang Zhang. 2017. Situational Context for Ranking in Personal Search. In WWW. 10 pages. https:\/\/doi.org\/10.1145\/3038912.3052648","DOI":"10.1145\/3038912.3052648"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258572"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","unstructured":"Hansi Zeng Surya Kallumadi Zaid Alibadi Rodrigo Nogueira and Hamed Zamani. 2023. A Personalized Dense Retrieval Framework for Unified Information Access. In SIGIR. 10 pages. https:\/\/doi.org\/10.1145\/3539618.3591626","DOI":"10.1145\/3539618.3591626"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482379"}],"event":{"name":"SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Padua Italy","acronym":"SIGIR '25"},"container-title":["Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3726302.3729913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T18:28:24Z","timestamp":1755887304000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3729913"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":62,"alternative-id":["10.1145\/3726302.3729913","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3729913","relation":{},"subject":[],"published":{"date-parts":[[2025,7,13]]},"assertion":[{"value":"2025-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}