{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:18:02Z","timestamp":1784179082381,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","funder":[{"name":"National Key R&D Program of China","award":["2022ZD0114804"],"award-info":[{"award-number":["2022ZD0114804"]}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2021SHZDZX0102"],"award-info":[{"award-number":["2021SHZDZX0102"]}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["624B2096, 62322603, 62177033"],"award-info":[{"award-number":["624B2096, 62322603, 62177033"]}],"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":[[2025,8,3]]},"DOI":"10.1145\/3711896.3737199","type":"proceedings-article","created":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T21:05:41Z","timestamp":1754255141000},"page":"5059-5070","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6883-881X","authenticated-orcid":false,"given":"Yunjia","family":"Xi","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8723-0689","authenticated-orcid":false,"given":"Muyan","family":"Weng","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9486-4536","authenticated-orcid":false,"given":"Wen","family":"Chen","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2155-7803","authenticated-orcid":false,"given":"Chao","family":"Yi","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8596-0243","authenticated-orcid":false,"given":"Dian","family":"Chen","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5300-8198","authenticated-orcid":false,"given":"Gaoyang","family":"Guo","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2236-9990","authenticated-orcid":false,"given":"Mao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3685-5637","authenticated-orcid":false,"given":"Jian","family":"Wu","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1665-3025","authenticated-orcid":false,"given":"Yuning","family":"Jiang","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9463-7410","authenticated-orcid":false,"given":"Qingwen","family":"Liu","sequence":"additional","affiliation":[{"name":"Taobao &amp; Tmall Group of Alibaba, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4457-2820","authenticated-orcid":false,"given":"Yong","family":"Yu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0127-2425","authenticated-orcid":false,"given":"Weinan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501221.2501222"},{"key":"e_1_3_2_2_3_1","volume-title":"System architectures for personalization and recommendation. the Netflix Techblog: http:\/\/techblog. netflix. com\/2013\/03\/systemarchitectures-for. html","author":"Amatriain Xavier","year":"2013","unstructured":"Xavier Amatriain and Justin Basilico. 2013. System architectures for personalization and recommendation. the Netflix Techblog: http:\/\/techblog. netflix. com\/2013\/03\/systemarchitectures-for. html (2013)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412246"},{"key":"e_1_3_2_2_5_1","volume-title":"International Conference on Artificial Intelligence and Statistics. PMLR, 4447-4455","author":"Azar Mohammad Gheshlaghi","year":"2024","unstructured":"Mohammad Gheshlaghi Azar, Zhaohan Daniel Guo, Bilal Piot, Remi Munos, Mark Rowland, Michal Valko, and Daniele Calandriello. 2024. A general theoretical paradigm to understand learning from human preferences. In International Conference on Artificial Intelligence and Statistics. PMLR, 4447-4455."},{"key":"e_1_3_2_2_6_1","volume-title":"Tallrec: An effective and efficient tuning framework to align large language model with recommendation. arXiv preprint arXiv:2305.00447","author":"Bao Keqin","year":"2023","unstructured":"Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He. 2023. Tallrec: An effective and efficient tuning framework to align large language model with recommendation. arXiv preprint arXiv:2305.00447 (2023)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671566"},{"key":"e_1_3_2_2_8_1","volume-title":"Yuanzhi Li, Scott Lundberg, et al.","author":"Bubeck S\u00e9bastien","year":"2023","unstructured":"S\u00e9bastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023. Sparks of artificial general intelligence: Early experiments with GPT-4. arXiv. arXiv preprint arXiv:2303.12712 (2023)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3522672"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Li Chen Yonghua Yang Ningxia Wang Keping Yang and Quan Yuan. 2019. How serendipity improves user satisfaction with recommendations? a large-scale user evaluation. In The world wide web conference. 240-250.","DOI":"10.1145\/3308558.3313469"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052585"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657689"},{"key":"e_1_3_2_2_13_1","volume-title":"Kto: Model alignment as prospect theoretic optimization. arXiv preprint arXiv:2402.01306","author":"Ethayarajh Kawin","year":"2024","unstructured":"Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, and Douwe Kiela. 2024. Kto: Model alignment as prospect theoretic optimization. arXiv preprint arXiv:2402.01306 (2024)."},{"key":"e_1_3_2_2_14_1","first-page":"355","volume-title":"Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. In Companion Proceedings of the ACM on Web Conference","author":"Feng Zhichao","year":"2024","unstructured":"Zhichao Feng, JunJie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, and Shangguang Wang. 2024. Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. In Companion Proceedings of the ACM on Web Conference 2024. 355-363."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664190.3672521"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3605145"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591787"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671601"},{"key":"e_1_3_2_2_19_1","volume-title":"Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685","author":"Hu Edward J","year":"2021","unstructured":"Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021. Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685 (2021)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-022-1250-2"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2926720"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/380"},{"key":"e_1_3_2_2_24_1","volume-title":"Overview of Serendipity in Recommender Systems. In International Conference on Web Engineering. Springer, 453-457","author":"Kotkov Denis","year":"2024","unstructured":"Denis Kotkov. 2024. Overview of Serendipity in Recommender Systems. In International Conference on Web Engineering. Springer, 453-457."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167276"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.08.014"},{"key":"e_1_3_2_2_27_1","volume-title":"Breaking feedback loops in recommender systems with causal inference. arXiv preprint arXiv:2207.01616","author":"Krauth Karl","year":"2022","unstructured":"Karl Krauth, Yixin Wang, and Michael I Jordan. 2022. Breaking feedback loops in recommender systems with causal inference. arXiv preprint arXiv:2207.01616 (2022)."},{"key":"e_1_3_2_2_28_1","unstructured":"Jin Li Jie Liu Shangzhou Li Yao Xu Ran Cao Qi Li Biye Jiang Guan Wang Han Zhu Kun Gai et al. 2021. Truncation-Free Matching System for Display Advertising at Alibaba. arXiv preprint arXiv:2102.09283 (2021)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412238"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357868"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380100"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583856"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-40039-z"},{"key":"e_1_3_2_2_34_1","unstructured":"Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen Xiangyang Li Chenxu Zhu Huifeng Guo Yong Yu Ruiming Tang et al. 2023. How Can Recommender Systems Benefit from Large Language Models: A Survey. arXiv preprint arXiv:2306.05817 (2023)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645467"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635845"},{"key":"e_1_3_2_2_37_1","volume-title":"Personalized Diversification for Neural Re-ranking in Recommendation. In 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 802-815","author":"Liu Weiwen","year":"2023","unstructured":"Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, and Rui Zhang. 2023. Personalized Diversification for Neural Re-ranking in Recommendation. In 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 802-815."},{"key":"e_1_3_2_2_38_1","volume-title":"KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation. arXiv preprint arXiv:2403.06642","author":"Luo Weiqing","year":"2024","unstructured":"Weiqing Luo, Chonggang Song, Lingling Yi, and Gong Cheng. 2024. KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation. arXiv preprint arXiv:2403.06642 (2024)."},{"key":"e_1_3_2_2_39_1","volume-title":"Llm-rec: Personalized recommendation via prompting large language models. arXiv preprint arXiv:2307.15780","author":"Lyu Hanjia","year":"2023","unstructured":"Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, and Jiebo Luo. 2023. Llm-rec: Personalized recommendation via prompting large language models. arXiv preprint arXiv:2307.15780 (2023)."},{"key":"e_1_3_2_2_40_1","volume-title":"Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao. arXiv preprint arXiv:2408.00247","author":"Ma Yingcai","year":"2024","unstructured":"Yingcai Ma, Ziyang Wang, Yuliang Yan, Jian Wu, Yuning Jiang, Longbin Li, Wen Chen, and Jianhang Huang. 2024. Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao. arXiv preprint arXiv:2408.00247 (2024)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412152"},{"key":"e_1_3_2_2_42_1","volume-title":"Simpo: Simple preference optimization with a reference-free reward. arXiv preprint arXiv:2405.14734","author":"Meng Yu","year":"2024","unstructured":"Yu Meng, Mengzhou Xia, and Danqi Chen. 2024. Simpo: Simple preference optimization with a reference-free reward. arXiv preprint arXiv:2405.14734 (2024)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568012"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3234944.3234974"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3406522.3446017"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412744"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401440"},{"key":"e_1_3_2_2_48_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Rafailov Rafael","year":"2024","unstructured":"Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2024. Direct preference optimization: Your language model is secretly a reward model. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645458"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657782"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3680030"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657821"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688131"},{"key":"e_1_3_2_2_55_1","volume-title":"Can Large Language Models Assess Serendipity in Recommender Systems? arXiv preprint arXiv:2404.07499","author":"Tokutake Yu","year":"2024","unstructured":"Yu Tokutake and Kazushi Okamoto. 2024. Can Large Language Models Assess Serendipity in Recommender Systems? arXiv preprint arXiv:2404.07499 (2024)."},{"key":"e_1_3_2_2_56_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_2_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645671"},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610234"},{"key":"e_1_3_2_2_59_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems, Vol. 35 (2022), 24824-24837."},{"key":"e_1_3_2_2_60_1","unstructured":"Yunjia Xi Weiwen Liu Jianghao Lin Xiaoling Cai Hong Zhu Jieming Zhu Bo Chen Ruiming Tang Weinan Zhang Rui Zhang et al. 2023a. Towards open-world recommendation with knowledge augmentation from large language models. arXiv preprint arXiv:2306.10933 (2023)."},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599878"},{"key":"e_1_3_2_2_62_1","volume-title":"A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. arXiv preprint arXiv:2408.05676","author":"Xi Yunjia","year":"2024","unstructured":"Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, and Yong Yu. 2024. A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. arXiv preprint arXiv:2408.05676 (2024)."},{"key":"e_1_3_2_2_63_1","first-page":"170","volume-title":"NoteLLM: A Retrievable Large Language Model for Note Recommendation. In Companion Proceedings of the ACM on Web Conference","author":"Zhang Chao","year":"2024","unstructured":"Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, and Enhong Chen. 2024. NoteLLM: A Retrievable Large Language Model for Note Recommendation. In Companion Proceedings of the ACM on Web Conference 2024. 170-179."},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482394"},{"key":"e_1_3_2_2_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00118"},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645358"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645347"},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-020-0135-9"}],"event":{"name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Toronto ON Canada","acronym":"KDD '25","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711896.3737199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T18:22:20Z","timestamp":1777573340000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3737199"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":69,"alternative-id":["10.1145\/3711896.3737199","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3737199","relation":{},"subject":[],"published":{"date-parts":[[2025,8,3]]},"assertion":[{"value":"2025-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}