{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T02:25:12Z","timestamp":1777343112876,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":71,"publisher":"ACM","funder":[{"name":"National Key Research and Development Program of China","award":["2023YFA1008704"],"award-info":[{"award-number":["2023YFA1008704"]}]},{"DOI":"10.13039\/100017052","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472426"],"award-info":[{"award-number":["62472426"]}],"id":[{"id":"10.13039\/100017052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3705328.3748071","type":"proceedings-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:46:13Z","timestamp":1757155573000},"page":"124-134","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6148-742X","authenticated-orcid":false,"given":"Teng","family":"Shi","sequence":"first","affiliation":[{"name":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7170-111X","authenticated-orcid":false,"given":"Jun","family":"Xu","sequence":"additional","affiliation":[{"name":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7397-5632","authenticated-orcid":false,"given":"Xiao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5923-3429","authenticated-orcid":false,"given":"Xiaoxue","family":"Zang","sequence":"additional","affiliation":[{"name":"Kuaishou Technology Co., Ltd., Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3822-2815","authenticated-orcid":false,"given":"Kai","family":"Zheng","sequence":"additional","affiliation":[{"name":"Kuaishou Technology Co.. Ltd., Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1714-5527","authenticated-orcid":false,"given":"Yang","family":"Song","sequence":"additional","affiliation":[{"name":"Kuaishou Technology Co., Ltd., Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0847-7464","authenticated-orcid":false,"given":"Enyun","family":"Yu","sequence":"additional","affiliation":[{"name":"Independent, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,9,7]]},"reference":[{"key":"e_1_3_3_2_2_2","volume-title":"International conference on learning representations","author":"Ahmad Wasi\u00a0Uddin","year":"2018","unstructured":"Wasi\u00a0Uddin Ahmad, Kai-Wei Chang, and Hongning Wang. 2018. Multi-task learning for document ranking and query suggestion. In International conference on learning representations."},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357980"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080813"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645404"},{"key":"e_1_3_3_2_6_2","unstructured":"Michele Bevilacqua Giuseppe Ottaviano Patrick Lewis Scott Yih Sebastian Riedel and Fabio Petroni. 2022. Autoregressive search engines: Generating substrings as document identifiers. Advances in Neural Information Processing Systems 35 (2022) 31668\u201331683."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401192"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599287"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657936"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610646"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00064"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498447"},{"key":"e_1_3_3_2_13_2","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","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 Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3546767"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481953"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557677"},{"key":"e_1_3_3_2_19_2","volume-title":"4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings","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. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.)."},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3624918.3625339"},{"key":"e_1_3_3_2_21_2","unstructured":"Gautier Izacard Mathilde Caron Lucas Hosseini Sebastian Riedel Piotr Bojanowski Armand Joulin and Edouard Grave. 2021. Unsupervised dense information retrieval with contrastive learning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2112.09118 (2021)."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01123"},{"key":"e_1_3_3_2_24_2","unstructured":"Xiaoxi Li Jiajie Jin Yujia Zhou Yuyao Zhang Peitian Zhang Yutao Zhu and Zhicheng Dou. 2024. From matching to generation: A survey on generative information retrieval. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.14851 (2024)."},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.366"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657690"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688123"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657717"},{"key":"e_1_3_3_2_30_2","unstructured":"Weicong Qin Yi Xu Weijie Yu Chenglei Shen Ming He Jianping Fan Xiao Zhang and Jun Xu. 2025. MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.01711 (2025)."},{"key":"e_1_3_3_2_31_2","unstructured":"Weicong Qin Yi Xu Weijie Yu Chenglei Shen Xiao Zhang Ming He Jianping Fan and Jun Xu. 2024. Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2409.06377 (2024)."},{"key":"e_1_3_3_2_32_2","unstructured":"Weicong Qin Yi Xu Weijie Yu Teng Shi Chenglei Shen Ming He Jianping Fan Xiao Zhang and Jun Xu. 2025. Similarity= Value? Consultation Value Assessment and Alignment for Personalized Search. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2506.14437 (2025)."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Weicong Qin Weijie Yu Kepu Zhang Haiyuan Zhao Jun Xu and Ji-Rong Wen. 2025. Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence. Information Sciences (2025) 121915.","DOI":"10.1016\/j.ins.2025.121915"},{"key":"e_1_3_3_2_34_2","unstructured":"Shashank Rajput Nikhil Mehta Anima Singh Raghunandan Hulikal\u00a0Keshavan Trung Vu Lukasz Heldt Lichan Hong Yi Tay Vinh Tran Jonah Samost et\u00a0al. 2023. Recommender systems with generative retrieval. Advances in Neural Information Processing Systems 36 (2023) 10299\u201310315."},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Stephen Robertson Hugo Zaragoza et\u00a0al. 2009. The probabilistic relevance framework: BM25 and beyond. Foundations and Trends\u00ae in Information Retrieval 3 4 (2009) 333\u2013389.","DOI":"10.1561\/1500000019"},{"key":"e_1_3_3_2_36_2","unstructured":"Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie and Jun Xu. 2024. A survey of controllable learning: Methods and applications in information retrieval. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.06083 (2024)."},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657811"},{"key":"e_1_3_3_2_38_2","unstructured":"Teng Shi Jun Xu Xiao Zhang Xiaoxue Zang Kai Zheng Yang Song and Han Li. 2025. Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.05731 (2025)."},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511951"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591786"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_3_2_42_2","unstructured":"Weiwei Sun Lingyong Yan Zheng Chen Shuaiqiang Wang Haichao Zhu Pengjie Ren Zhumin Chen Dawei Yin Maarten Rijke and Zhaochun Ren. 2024. Learning to tokenize for generative retrieval. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_2_43_2","unstructured":"Jiakai Tang Sunhao Dai Teng Shi Jun Xu Xu Chen Wen Chen Wu Jian and Yuning Jiang. 2025. Think before recommend: Unleashing the latent reasoning power for sequential recommendation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.22675 (2025)."},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671661"},{"key":"e_1_3_3_2_45_2","unstructured":"Yi Tay Vinh Tran Mostafa Dehghani Jianmo Ni Dara Bahri Harsh Mehta Zhen Qin Kai Hui Zhe Zhao Jai Gupta et\u00a0al. 2022. Transformer memory as a differentiable search index. Advances in Neural Information Processing Systems 35 (2022) 21831\u201321843."},{"key":"e_1_3_3_2_46_2","unstructured":"Liang Wang Nan Yang Xiaolong Huang Linjun Yang Rangan Majumder and Furu Wei. 2024. Multilingual e5 text embeddings: A technical report. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.05672 (2024)."},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679849"},{"key":"e_1_3_3_2_48_2","unstructured":"Yujing Wang Yingyan Hou Haonan Wang Ziming Miao Shibin Wu Qi Chen Yuqing Xia Chengmin Chi Guoshuai Zhao Zheng Liu et\u00a0al. 2022. A neural corpus indexer for document retrieval. Advances in Neural Information Processing Systems 35 (2022) 25600\u201325614."},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599821"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657878"},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645427"},{"key":"e_1_3_3_2_52_2","unstructured":"Lee Xiong Chenyan Xiong Ye Li Kwok-Fung Tang Jialin Liu Paul Bennett Junaid Ahmed and Arnold Overwijk. 2020. Approximate nearest neighbor negative contrastive learning for dense text retrieval. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2007.00808 (2020)."},{"key":"e_1_3_3_2_53_2","unstructured":"Yi Xu Weicong Qin Weijie Yu Ming He Jianping Fan and Jun Xu. 2025. Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.04386 (2025)."},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482489"},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591932"},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635760"},{"key":"e_1_3_3_2_57_2","series-title":"CEUR Workshop Proceedings","first-page":"36","volume-title":"Proceedings of the First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, Bertinoro, Italy, August 28-31, 2018","volume":"2167","author":"Zamani Hamed","year":"2018","unstructured":"Hamed Zamani and W.\u00a0Bruce Croft. 2018. Joint Modeling and Optimization of Search and Recommendation. In Proceedings of the First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, Bertinoro, Italy, August 28-31, 2018(CEUR Workshop Proceedings, Vol.\u00a02167). CEUR-WS.org, 36\u201341."},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371818"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657714"},{"key":"e_1_3_3_2_60_2","unstructured":"Changshuo Zhang Teng Shi Xiao Zhang Qi Liu Ruobing Xie Jun Xu and Ji-Rong Wen. 2024. Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2408.08209 (2024)."},{"key":"e_1_3_3_2_61_2","unstructured":"Changshuo Zhang Teng Shi Xiao Zhang Yanping Zheng Ruobing Xie Qi Liu Jun Xu and Ji-Rong Wen. 2024. QAGCF: Graph Collaborative Filtering for Q&A Recommendation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.04828 (2024)."},{"key":"e_1_3_3_2_62_2","doi-asserted-by":"crossref","unstructured":"Changshuo Zhang Xiao Zhang Teng Shi Jun Xu and Ji-Rong Wen. 2025. Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.01489 (2025).","DOI":"10.1145\/3705328.3748060"},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679643"},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"crossref","unstructured":"Xiao Zhang Teng Shi Jun Xu Zhenhua Dong and Ji-Rong Wen. 2024. Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. IEEE Transactions on Knowledge and Data Engineering (2024).","DOI":"10.1109\/TKDE.2024.3424906"},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671519"},{"key":"e_1_3_3_2_66_2","unstructured":"Jujia Zhao Wenjie Wang Chen Xu Xiuying Chen Zhaochun Ren and Suzan Verberne. 2025. Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.06714 (2025)."},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498414"},{"key":"e_1_3_3_2_68_2","unstructured":"Wayne\u00a0Xin Zhao Kun Zhou Junyi Li Tianyi Tang Xiaolei Wang Yupeng Hou Yingqian Min Beichen Zhang Junjie Zhang Zican Dong et\u00a0al. 2023. A survey of large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2303.18223 (2023)."},{"key":"e_1_3_3_2_69_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00118"},{"key":"e_1_3_3_2_70_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512111"},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"crossref","unstructured":"Yujia Zhou Jing Yao Ledell Wu Zhicheng Dou and Ji-Rong Wen. 2023. WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm. IEEE Transactions on Knowledge and Data Engineering (2023).","DOI":"10.1109\/TKDE.2023.3332858"},{"key":"e_1_3_3_2_72_2","unstructured":"Shengyao Zhuang Houxing Ren Linjun Shou Jian Pei Ming Gong Guido Zuccon and Daxin Jiang. 2022. Bridging the gap between indexing and retrieval for differentiable search index with query generation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2206.10128 (2022)."}],"event":{"name":"RecSys '25: Nineteenth ACM Conference on Recommender Systems","location":"Prague Czech Republic","acronym":"RecSys '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGIR ACM Special Interest Group on Information Retrieval","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Nineteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3705328.3748071","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:39:47Z","timestamp":1757158787000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3705328.3748071"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,7]]},"references-count":71,"alternative-id":["10.1145\/3705328.3748071","10.1145\/3705328"],"URL":"https:\/\/doi.org\/10.1145\/3705328.3748071","relation":{},"subject":[],"published":{"date-parts":[[2025,9,7]]},"assertion":[{"value":"2025-09-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}