{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:13:34Z","timestamp":1784178814782,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,3]]},"DOI":"10.1145\/3711896.3737024","type":"proceedings-article","created":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T21:03:27Z","timestamp":1754255007000},"page":"2985-2995","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["LettinGo: Explore User Profile Generation for Recommendation System"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6788-2204","authenticated-orcid":false,"given":"Lu","family":"Wang","sequence":"first","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3026-1823","authenticated-orcid":false,"given":"Di","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3089-0345","authenticated-orcid":false,"given":"Fangkai","family":"Yang","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4518-323X","authenticated-orcid":false,"given":"Pu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9915-1501","authenticated-orcid":false,"given":"Jianfeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5902-417X","authenticated-orcid":false,"given":"Yuefeng","family":"Zhan","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5027-7478","authenticated-orcid":false,"given":"Hao","family":"Sun","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2559-2383","authenticated-orcid":false,"given":"Qingwei","family":"Lin","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4793-9715","authenticated-orcid":false,"given":"Weiwei","family":"Deng","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9230-2799","authenticated-orcid":false,"given":"Dongmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0834-0562","authenticated-orcid":false,"given":"Feng","family":"Sun","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3168-4594","authenticated-orcid":false,"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Amazon. 2025. Amazon Books. https:\/\/amazon-reviews-2023.github.io\/. Accessed: 2025-01-15."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608857"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2007.4370493"},{"key":"e_1_3_2_1_4_1","volume-title":"A Survey on Multi-Behavior Sequential Recommendation. arXiv preprint arXiv:2308.15701","author":"Chen Xiaoqing","year":"2023","unstructured":"Xiaoqing Chen, Zhitao Li, Weike Pan, and Zhong Ming. 2023. A Survey on Multi-Behavior Sequential Recommendation. arXiv preprint arXiv:2308.15701 (2023)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3000733"},{"key":"e_1_3_2_1_6_1","unstructured":"Claude. 2025. Claude. https:\/\/claude.ai\/. Accessed: 2025-01-15."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610646"},{"key":"e_1_3_2_1_8_1","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Amy Yang Angela Fan et al. 2024. The llama 3 herd of models. arXiv preprint arXiv:2407.21783 (2024)."},{"key":"e_1_3_2_1_9_1","volume-title":"RSEIU: A recommendation algorithm for shopping based on explicit and implicit feedback of user.","author":"Gao Li","year":"2024","unstructured":"Li Gao, Haiping Fan, Yi Liu, and Jinyang Zhao. 2024. RSEIU: A recommendation algorithm for shopping based on explicit and implicit feedback of user. (2024)."},{"key":"e_1_3_2_1_10_1","volume-title":"Chat-rec: Towards interactive and explainable llms-augmented recommender system. arXiv preprint arXiv:2303.14524","author":"Gao Yunfan","year":"2023","unstructured":"Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023. Chat-rec: Towards interactive and explainable llms-augmented recommender system. arXiv preprint arXiv:2303.14524 (2023)."},{"key":"e_1_3_2_1_11_1","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi et al. 2025. Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610639"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-56060-6_24"},{"key":"e_1_3_2_1_14_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_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240609"},{"key":"e_1_3_2_1_16_1","volume-title":"Chi, and Derek Zhiyuan Cheng","author":"Kang Wang-Cheng","year":"2023","unstructured":"Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi, and Derek Zhiyuan Cheng. 2023. Do llms understand user preferences? evaluating llms on user rating prediction. arXiv preprint arXiv:2305.06474 (2023)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3701571.3703373"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100255"},{"key":"e_1_3_2_1_19_1","volume-title":"Large language models for generative recommendation: A survey and visionary discussions. arXiv preprint arXiv:2309.01157","author":"Li Lei","year":"2023","unstructured":"Lei Li, Yongfeng Zhang, Dugang Liu, and Li Chen. 2023. Large language models for generative recommendation: A survey and visionary discussions. arXiv preprint arXiv:2309.01157 (2023)."},{"key":"e_1_3_2_1_20_1","volume-title":"CTRL: Connect Collaborative and Language Model for CTR Prediction. arXiv preprint arXiv:2306.02841","author":"Li Xiangyang","year":"2023","unstructured":"Xiangyang Li, Bo Chen, Lu Hou, and Ruiming Tang. 2023. CTRL: Connect Collaborative and Language Model for CTR Prediction. arXiv preprint arXiv:2306.02841 (2023)."},{"key":"e_1_3_2_1_21_1","unstructured":"Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen Hao Zhang Yong Liu Chuhan Wu Xiangyang Li Chenxu Zhu 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_1_22_1","unstructured":"CanYi Liu Wei Li Hui Li Rongrong Ji et al. 2024. Beyond Inter-Item Relations: Dynamic Adaption for Enhancing LLM-Based Sequential Recommendation. arXiv preprint arXiv:2408.07427 (2024)."},{"key":"e_1_3_2_1_23_1","volume-title":"Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149","author":"Liu Junling","year":"2023","unstructured":"Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, and Yan Zhang. 2023. Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149 (2023)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00619"},{"key":"e_1_3_2_1_25_1","volume-title":"Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization. arXiv preprint arXiv:2409.16973","author":"Mendoza Rafael","year":"2024","unstructured":"Rafael Mendoza, Isabella Cruz, Richard Liu, Aarav Deshmukh, David Williams, Jesscia Peng, and Rohan Iyer. 2024. Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization. arXiv preprint arXiv:2409.16973 (2024)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.7821\/naer.2023.1.1127"},{"key":"e_1_3_2_1_27_1","unstructured":"Movielens. 2025. Movielens-10M. https:\/\/grouplens.org\/datasets\/movielens\/10m\/. Accessed: 2025-01-15."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1018"},{"key":"e_1_3_2_1_29_1","unstructured":"OpenAI. 2025. GPT-4o-mini. https:\/\/openai.com\/index\/gpt-4o-mini-advancingcost-efficient-intelligence\/. Accessed: 2025-01-15."},{"key":"e_1_3_2_1_30_1","volume-title":"User Modeling and User Profiling: A Comprehensive Survey. arXiv preprint arXiv:2402.09660","author":"Purificato Erasmo","year":"2024","unstructured":"Erasmo Purificato, Ludovico Boratto, and Ernesto William De Luca. 2024. User Modeling and User Profiling: A Comprehensive Survey. arXiv preprint arXiv:2402.09660 (2024)."},{"key":"e_1_3_2_1_31_1","first-page":"53728","article-title":"Direct preference optimization: Your language model is secretly a reward model","volume":"36","author":"Rafailov Rafael","year":"2023","unstructured":"Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023. Direct preference optimization: Your language model is secretly a reward model. Advances in Neural Information Processing Systems 36 (2023), 53728-53741.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645458"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3526270"},{"key":"e_1_3_2_1_34_1","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_3_2_1_35_1","volume-title":"A deep recurrent neural network approach to learn sequence similarities for user-identification. Decision Support Systems","author":"Vamosi S","year":"2022","unstructured":"S Vamosi, T Reutterer, and M Platzer. 2022. A deep recurrent neural network approach to learn sequence similarities for user-identification. Decision Support Systems (2022)."},{"key":"e_1_3_2_1_36_1","volume-title":"Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153","author":"Wang Lei","year":"2023","unstructured":"Lei Wang and Ee-Peng Lim. 2023. Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153 (2023)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121412"},{"key":"e_1_3_2_1_38_1","volume-title":"Muse: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles. arXiv preprint arXiv:2412.18416","author":"Wang Zihan","year":"2024","unstructured":"Zihan Wang, Xiaocui Yang, Yongkang Liu, Shi Feng, Daling Wang, and Yifei Zhang. 2024. Muse: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles. arXiv preprint arXiv:2412.18416 (2024)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00425-x"},{"key":"e_1_3_2_1_40_1","unstructured":"J. Wu. 2023. Computational Understanding of User Interfaces. (2023)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-024-01291-2"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence.","author":"Wu S.","unstructured":"S. Wu, Y. Zhu, L. Wang, and X. Xie. 2019. Session-based recommendation with graph neural networks. In Proceedings of the AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688104"},{"key":"e_1_3_2_1_44_1","first-page":"6099","article-title":"Multi-behavior sequential recommendation with temporal graph transformer","volume":"35","author":"Xia Lianghao","year":"2022","unstructured":"Lianghao Xia, Chao Huang, Yong Xu, and Jian Pei. 2022. Multi-behavior sequential recommendation with temporal graph transformer. IEEE Transactions on Knowledge and Data Engineering 35, 6 (2022), 6099-6112.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657760"},{"key":"e_1_3_2_1_46_1","volume-title":"Palr: Personalization aware llms for recommendation. arXiv preprint arXiv:2305.07622","author":"Yang Fan","year":"2023","unstructured":"Fan Yang, Zheng Chen, Ziyan Jiang, Eunah Cho, Xiaojiang Huang, and Yanbin Lu. 2023. Palr: Personalization aware llms for recommendation. arXiv preprint arXiv:2305.07622 (2023)."},{"key":"e_1_3_2_1_47_1","unstructured":"Yelp. 2025. Yelp. https:\/\/www.yelp.com\/dataset\/. Accessed: 2025-01-15."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282907"},{"key":"e_1_3_2_1_49_1","volume-title":"Guided Profile Generation Improves Personalization with LLMs. arXiv preprint arXiv:2409.13093","author":"Zhang Jiarui","year":"2024","unstructured":"Jiarui Zhang. 2024. Guided Profile Generation Improves Personalization with LLMs. arXiv preprint arXiv:2409.13093 (2024)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics13173473"},{"key":"e_1_3_2_1_51_1","volume-title":"Llamafactory: Unified efficient fine-tuning of 100 language models. arXiv preprint arXiv:2403.13372","author":"Zheng Yaowei","year":"2024","unstructured":"Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Zhangchi Feng, and Yongqiang Ma. 2024. Llamafactory: Unified efficient fine-tuning of 100 language models. arXiv preprint arXiv:2403.13372 (2024)."}],"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\/3711896.3737024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:58:48Z","timestamp":1777571928000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3737024"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":51,"alternative-id":["10.1145\/3711896.3737024","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3737024","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"}}]}}