{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:40:01Z","timestamp":1755866401493,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":61,"publisher":"ACM","funder":[{"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"}]},{"name":"National Key R&D Program of China","award":["2022ZD0114804"],"award-info":[{"award-number":["2022ZD0114804"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,13]]},"DOI":"10.1145\/3726302.3729885","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:38:52Z","timestamp":1752457132000},"page":"53-63","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7031-5786","authenticated-orcid":false,"given":"Renting","family":"Rui","sequence":"first","affiliation":[{"name":"Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6883-881X","authenticated-orcid":false,"given":"Yunjia","family":"Xi","sequence":"additional","affiliation":[{"name":"Computer Science, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9148-3997","authenticated-orcid":false,"given":"Weiwen","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8953-3203","authenticated-orcid":false,"given":"Jianghao","family":"Lin","sequence":"additional","affiliation":[{"name":"Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3750-2533","authenticated-orcid":false,"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9224-2431","authenticated-orcid":false,"given":"Ruiming","family":"Tang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"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"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0281-8271","authenticated-orcid":false,"given":"Yong","family":"Yu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_1_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_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":"10.18653\/v1\/D19--1189"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939746"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657755"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462913"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462913"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657843"},{"key":"e_1_3_2_1_9_1","volume-title":"A large language model enhanced conversational recommender system. arXiv preprint arXiv:2308.06212","author":"Feng Yue","year":"2023","unstructured":"Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, and Fei Sun. 2023. A large language model enhanced conversational recommender system. arXiv preprint arXiv:2308.06212 (2023)."},{"key":"e_1_3_2_1_10_1","unstructured":"Luke Friedman Sameer Ahuja David Allen Zhenning Tan Hakim Sidahmed Changbo Long Jun Xie Gabriel Schubiner Ajay Patel Harsh Lara et al. 2023. Leveraging large language models in conversational recommender systems. arXiv preprint arXiv:2305.07961 (2023)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.06.002"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2024.1427463"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614949"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531844"},{"key":"e_1_3_2_1_15_1","volume-title":"Recommender ai agent: Integrating large language models for interactive recommendations. arXiv preprint arXiv:2308.16505","author":"Huang Xu","year":"2023","unstructured":"Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, and Xing Xie. 2023. Recommender ai agent: Integrating large language models for interactive recommendations. arXiv preprint arXiv:2308.16505 (2023)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657670"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583536"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610644"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371769"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403258"},{"key":"e_1_3_2_1_22_1","volume-title":"Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems. arXiv preprint arXiv:2405.01868","author":"Li Chuang","year":"2024","unstructured":"Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, and Haizhou Li. 2024. Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems. arXiv preprint arXiv:2405.01868 (2024)."},{"key":"e_1_3_2_1_23_1","volume-title":"Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal.","author":"Li Raymond","year":"2018","unstructured":"Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018. Towards deep conversational recommendations. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532074"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645396"},{"key":"e_1_3_2_1_26_1","unstructured":"Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen Hao Zhang Yong Liu Chuhan Wu Xiangyang Li Chenxu Zhu et al. 2023a. How can recommender systems benefit from large language models: A survey. arXiv preprint arXiv:2306.05817 (2023)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599422"},{"key":"e_1_3_2_1_28_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Shinn Noah","year":"2024","unstructured":"Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2024. Reflexion: Language agents with verbal reinforcement learning. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_29_1","volume-title":"A human-central recommendation framework with large language models. arXiv preprint arXiv:2308.09904","author":"Shu Yubo","year":"2023","unstructured":"Yubo Shu, Hansu Gu, Peng Zhang, Haonan Zhang, Tun Lu, Dongsheng Li, and Ning Gu. 2023. Rah! recsys-assistant-human: A human-central recommendation framework with large language models. arXiv preprint arXiv:2308.09904 (2023)."},{"key":"e_1_3_2_1_30_1","volume-title":"Large Language Models as Conversational Movie Recommenders: A User Study. arXiv preprint arXiv:2404.19093","author":"Sun Ruixuan","year":"2024","unstructured":"Ruixuan Sun, Xinyi Li, Avinash Akella, and Joseph A Konstan. 2024. Large Language Models as Conversational Movie Recommenders: A User Study. arXiv preprint arXiv:2404.19093 (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"RecInDial: A unified framework for conversational recommendation with pretrained language models. arXiv preprint arXiv:2110.07477","author":"Wang Lingzhi","year":"2021","unstructured":"Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, and Daxin Jiang. 2021. RecInDial: A unified framework for conversational recommendation with pretrained language models. arXiv preprint arXiv:2110.07477 (2021)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.621"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599387"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539382"},{"key":"e_1_3_2_1_35_1","volume-title":"Recmind: Large language model powered agent for recommendation. arXiv preprint arXiv:2308.14296","author":"Wang Yancheng","year":"2023","unstructured":"Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, and Yingzhen Yang. 2023a. Recmind: Large language model powered agent for recommendation. arXiv preprint arXiv:2308.14296 (2023)."},{"key":"e_1_3_2_1_36_1","volume-title":"Multi-Agent Collaboration Framework for Recommender Systems. arXiv preprint arXiv:2402.15235","author":"Wang Zhefan","year":"2024","unstructured":"Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, and Min Zhang. 2024. Multi-Agent Collaboration Framework for Recommender Systems. arXiv preprint arXiv:2402.15235 (2024)."},{"key":"e_1_3_2_1_37_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_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688104"},{"key":"e_1_3_2_1_39_1","volume-title":"MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. arXiv preprint arXiv:2407.04960","author":"Xi Yunjia","year":"2024","unstructured":"Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, and Yong Yu. 2024b. MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. arXiv preprint arXiv:2407.04960 (2024)."},{"key":"e_1_3_2_1_40_1","unstructured":"Yunjia Xi Weiwen Liu Jianghao Lin Muyan Weng Xiaoling Cai Hong Zhu Jieming Zhu Bo Chen Ruiming Tang Yong Yu et al. 2024c. Efficient and deployable knowledge infusion for open-world recommendations via large language models. ACM Transactions on Recommender Systems (2024)."},{"key":"e_1_3_2_1_41_1","volume-title":"2024 d. 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 d. A decoding acceleration framework for industrial deployable LLM-based recommender systems. arXiv preprint arXiv:2408.05676 (2024)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-naacl.4"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657924"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688146"},{"key":"e_1_3_2_1_45_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Yao Shunyu","year":"2024","unstructured":"Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2024. Tree of thoughts: Deliberate problem solving with large language models. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_46_1","volume-title":"React: Synergizing reasoning and acting in language models. arXiv preprint arXiv:2210.03629","author":"Yao Shunyu","year":"2022","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022. React: Synergizing reasoning and acting in language models. arXiv preprint arXiv:2210.03629 (2022)."},{"key":"e_1_3_2_1_47_1","volume-title":"Jessica Maria Echterhoff, and Julian McAuley","author":"He Zhankui","year":"2024","unstructured":"Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, and Julian McAuley. 2024. Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. arXiv preprint arXiv:2403.09738 (2024)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657844"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608885"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679792"},{"key":"e_1_3_2_1_51_1","volume-title":"2024 d. Agentic information retrieval. arXiv preprint arXiv:2410.09713","author":"Zhang Weinan","year":"2024","unstructured":"Weinan Zhang, Junwei Liao, Ning Li, Kounianhua Du, and Jianghao Lin. 2024 d. Agentic information retrieval. arXiv preprint arXiv:2410.09713 (2024)."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570426"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512088"},{"key":"e_1_3_2_1_54_1","volume-title":"Portable Models and Interactive User Interface. In Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Zhang Zeyuan","year":"2024","unstructured":"Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian McAuley, and Zhankui He. 2024c. RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 23856--23858."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557482"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591737"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403143"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.365"},{"key":"e_1_3_2_1_59_1","volume-title":"Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. In Companion Proceedings of the ACM on Web Conference","author":"Zhu Lixi","year":"2024","unstructured":"Lixi Zhu, Xiaowen Huang, and Jitao Sang. 2024a. How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. In Companion Proceedings of the ACM on Web Conference 2024. 1726--1732."},{"key":"e_1_3_2_1_60_1","volume-title":"Human-Involved User Simulator Framework for Conversational Recommender Systems. arXiv preprint arXiv:2405.08035","author":"Zhu Lixi","year":"2024","unstructured":"Lixi Zhu, Xiaowen Huang, and Jitao Sang. 2024b. A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems. arXiv preprint arXiv:2405.08035 (2024)."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3677376"}],"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\/3726302.3729885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:12:19Z","timestamp":1755864739000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3729885"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":61,"alternative-id":["10.1145\/3726302.3729885","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3729885","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"}}]}}