{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T03:52:48Z","timestamp":1777175568194,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591626","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"121-130","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["A Personalized Dense Retrieval Framework for Unified Information Access"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2699-8460","authenticated-orcid":false,"given":"Hansi","family":"Zeng","sequence":"first","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5638-0482","authenticated-orcid":false,"given":"Surya","family":"Kallumadi","sequence":"additional","affiliation":[{"name":"Lowe's Companies, Inc., Charlotte, NC, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9071-8407","authenticated-orcid":false,"given":"Zaid","family":"Alibadi","sequence":"additional","affiliation":[{"name":"Lowe's Companies, Inc., Charlotte, NC, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2600-6035","authenticated-orcid":false,"given":"Rodrigo","family":"Nogueira","sequence":"additional","affiliation":[{"name":"University of Campinas, Campinas, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0800-3340","authenticated-orcid":false,"given":"Hamed","family":"Zamani","sequence":"additional","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, MA, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357980"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080813"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/138859.138861"},{"key":"e_1_3_2_1_4_1","volume-title":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. ArXiv","author":"Campos Daniel Fernando","year":"2016","unstructured":"Daniel Fernando Campos, Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng, and Bhaskar Mitra. 2016. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. ArXiv, Vol. abs\/1611.09268 (2016)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"e_1_3_2_1_6_1","volume-title":"SentEval: An Evaluation Toolkit for Universal Sentence Representations. ArXiv","author":"Conneau Alexis","year":"2018","unstructured":"Alexis Conneau and Douwe Kiela. 2018. SentEval: An Evaluation Toolkit for Universal Sentence Representations. ArXiv, Vol. abs\/1803.05449 (2018)."},{"key":"e_1_3_2_1_7_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Luyu Gao and Jamie Callan. 2021. Condenser: a Pre-training Architecture for Dense Retrieval. In EMNLP.","DOI":"10.18653\/v1\/2021.emnlp-main.75"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_11_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. CoRR","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. CoRR, Vol. abs\/1511.06939 (2016)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462891"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487589"},{"key":"e_1_3_2_1_15_1","volume-title":"Visually-Aware Fashion Recommendation and Design with Generative Image Models. 2017 IEEE International Conference on Data Mining (ICDM)","author":"Kang Wang-Cheng","year":"2017","unstructured":"Wang-Cheng Kang, Chen Fang, Zhaowen Wang, and Julian McAuley. 2017. Visually-Aware Fashion Recommendation and Design with Generative Image Models. 2017 IEEE International Conference on Data Mining (ICDM) (2017), 207--216."},{"key":"e_1_3_2_1_16_1","volume-title":"Self-Attentive Sequential Recommendation. 2018 IEEE International Conference on Data Mining (ICDM)","author":"Kang Wang-Cheng","year":"2018","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-Attentive Sequential Recommendation. 2018 IEEE International Conference on Data Mining (ICDM) (2018), 197--206."},{"key":"e_1_3_2_1_17_1","volume-title":"Sergey Edunov, Danqi Chen, and Wen tau Yih.","author":"Karpukhin Vladimir","year":"2020","unstructured":"Vladimir Karpukhin, Barlas O\u011fuz, Sewon Min, Patrick Lewis, Ledell Yu Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering. ArXiv, Vol. abs\/2004.04906 (2020)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959165"},{"key":"e_1_3_2_1_19_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. CoRR, Vol. abs\/1412.6980 (2015)."},{"key":"e_1_3_2_1_20_1","volume-title":"Bell","author":"Koren Yehuda","year":"2011","unstructured":"Yehuda Koren and Robert M. Bell. 2011. Advances in Collaborative Filtering. In Recommender Systems Handbook."},{"key":"e_1_3_2_1_21_1","volume-title":"Le and Tomas Mikolov","author":"Quoc","year":"2014","unstructured":"Quoc V. Le and Tomas Mikolov. 2014. Distributed Representations of Sentences and Documents. In ICML."},{"key":"e_1_3_2_1_22_1","volume-title":"Lin","author":"Lin Sheng-Chieh","year":"2021","unstructured":"Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy J. Lin. 2021. In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval. In REPL4NLP."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463106"},{"key":"e_1_3_2_1_24_1","unstructured":"Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua Wu and Haifeng Wang. 2021. RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. In NAACL."},{"key":"e_1_3_2_1_25_1","unstructured":"Chandan K. Reddy Llu\u00eds M\u00e0rquez Fran Valero Nikhil Rao Hugo Zaragoza Sambaran Bandyopadhyay Arnab Biswas Anlu Xing and Karthik Subbian. 2022. Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search. (2022). arxiv: 2206.06588"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_27_1","volume-title":"Noah A. Smith, Luke Zettlemoyer, and Tao Yu.","author":"Su Hongjin","year":"2022","unstructured":"Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen tau Yih, Noah A. Smith, Luke Zettlemoyer, and Tao Yu. 2022. One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ArXiv, Vol. abs\/2212.09741 (2022)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_29_1","volume-title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. ArXiv","author":"Thakur Nandan","year":"2021","unstructured":"Nandan Thakur, Nils Reimers, Andreas Ruckl'e, Abhishek Srivastava, and Iryna Gurevych. 2021. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. ArXiv, Vol. abs\/2104.08663 (2021)."},{"key":"e_1_3_2_1_30_1","unstructured":"Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is All you Need. In NIPS."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052638"},{"key":"e_1_3_2_1_33_1","volume-title":"HuggingFace's Transformers: State-of-the-art Natural Language Processing. ArXiv","author":"Wolf Thomas","year":"2019","unstructured":"Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R\u00e9mi Louf, Morgan Funtowicz, and Jamie Brew. 2019. HuggingFace's Transformers: State-of-the-art Natural Language Processing. ArXiv, Vol. abs\/1910.03771 (2019)."},{"key":"e_1_3_2_1_34_1","volume-title":"Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ArXiv","author":"Xiong Lee","year":"2021","unstructured":"Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, and Arnold Overwijk. 2021. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ArXiv, Vol. abs\/2007.00808 (2021)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.31193\/ssap.01.9787509791011"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371818"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052648"},{"key":"e_1_3_2_1_38_1","volume-title":"Joint Modeling and Optimization of Search and Recommendation. ArXiv","author":"Zamani Hamed","year":"2018","unstructured":"Hamed Zamani and W. Bruce Croft. 2018. Joint Modeling and Optimization of Search and Recommendation. ArXiv, Vol. abs\/1807.05631 (2018)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531791"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462880"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498414"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591626","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591626","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:40Z","timestamp":1750182700000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591626"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":41,"alternative-id":["10.1145\/3539618.3591626","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591626","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}