{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T12:31:07Z","timestamp":1770985867392,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3449846","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:37:45Z","timestamp":1622749065000},"page":"425-435","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Reinforcement Recommendation with User Multi-aspect Preference"],"prefix":"10.1145","author":[{"given":"Xu","family":"Chen","sequence":"first","affiliation":[{"name":"Renmin University of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yali","family":"Du","sequence":"additional","affiliation":[{"name":"University College London, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Xia","sequence":"additional","affiliation":[{"name":"York University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"University College London, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Xueying Bai Jian Guan and Hongning Wang. 2019. A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. In Advances in Neural Information Processing Systems. 10735\u201310746.  Xueying Bai Jian Guan and Hongning Wang. 2019. A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation. In Advances in Neural Information Processing Systems. 10735\u201310746."},{"key":"e_1_3_2_1_2_1","unstructured":"Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi and Le Song. 2018. Generative adversarial user model for reinforcement learning based recommendation system. arXiv preprint arXiv:1812.10613(2018).  Xinshi Chen Shuang Li Hui Li Shaohua Jiang Yuan Qi and Le Song. 2018. Generative adversarial user model for reinforcement learning based recommendation system. arXiv preprint arXiv:1812.10613(2018)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_5_1","volume-title":"Enhancing Multi-Aspect Collaborative Filtering for Personalized Recommendation. In 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 1\u20136.","author":"Khairudin Nurkhairizan","year":"2018","unstructured":"Nurkhairizan Khairudin , Nurfadhlina\u00a0Mohd Sharef , Norwati Mustapha , and Shahrul Azman\u00a0Mohd Noah . 2018 . Enhancing Multi-Aspect Collaborative Filtering for Personalized Recommendation. In 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 1\u20136. Nurkhairizan Khairudin, Nurfadhlina\u00a0Mohd Sharef, Norwati Mustapha, and Shahrul Azman\u00a0Mohd Noah. 2018. Enhancing Multi-Aspect Collaborative Filtering for Personalized Recommendation. In 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 1\u20136."},{"key":"e_1_3_2_1_6_1","unstructured":"Xi Lin Hui-Ling Zhen Zhenhua Li Qing-Fu Zhang and Sam Kwong. 2019. Pareto Multi-Task Learning. In Advances in Neural Information Processing Systems. 12037\u201312047.  Xi Lin Hui-Ling Zhen Zhenhua Li Qing-Fu Zhang and Sam Kwong. 2019. Pareto Multi-Task Learning. In Advances in Neural Information Processing Systems. 12037\u201312047."},{"key":"e_1_3_2_1_7_1","unstructured":"Feng Liu Ruiming Tang Xutao Li Weinan Zhang Yunming Ye Haokun Chen Huifeng Guo and Yuzhou Zhang. 2018. Deep reinforcement learning based recommendation with explicit user-item interactions modeling. arXiv preprint arXiv:1810.12027(2018).  Feng Liu Ruiming Tang Xutao Li Weinan Zhang Yunming Ye Haokun Chen Huifeng Guo and Yuzhou Zhang. 2018. Deep reinforcement learning based recommendation with explicit user-item interactions modeling. arXiv preprint arXiv:1810.12027(2018)."},{"key":"e_1_3_2_1_8_1","unstructured":"Thanh\u00a0Thi Nguyen. 2018. A multi-objective deep reinforcement learning framework. arXiv preprint arXiv:1803.02965(2018).  Thanh\u00a0Thi Nguyen. 2018. A multi-objective deep reinforcement learning framework. arXiv preprint arXiv:1803.02965(2018)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/15405702.2019.1627548"},{"key":"e_1_3_2_1_10_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618(2012).","author":"Rendle Steffen","year":"2012","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2012 . BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618(2012). Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618(2012)."},{"key":"e_1_3_2_1_11_1","unstructured":"Ozan Sener and Vladlen Koltun. 2018. Multi-task learning as multi-objective optimization. In Advances in Neural Information Processing Systems. 527\u2013538.  Ozan Sener and Vladlen Koltun. 2018. Multi-task learning as multi-objective optimization. In Advances in Neural Information Processing Systems. 527\u2013538."},{"key":"e_1_3_2_1_12_1","unstructured":"David Silver Guy Lever Nicolas Heess Thomas Degris Daan Wierstra and Martin Riedmiller. 2014. Deterministic policy gradient algorithms.  David Silver Guy Lever Nicolas Heess Thomas Degris Daan Wierstra and Martin Riedmiller. 2014. Deterministic policy gradient algorithms."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210023"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.15439\/2018F231"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219869"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219961"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609579"},{"key":"e_1_3_2_1_18_1","unstructured":"Wayne\u00a0Xin Zhao Shanlei Mu Yupeng Hou Zihan Lin Kaiyuan Li Yushuo Chen Yujie Lu Hui Wang Changxin Tian Xingyu Pan 2020. RecBole: Towards a Unified Comprehensive and Efficient Framework for Recommendation Algorithms. arXiv preprint arXiv:2011.01731(2020).  Wayne\u00a0Xin Zhao Shanlei Mu Yupeng Hou Zihan Lin Kaiyuan Li Yushuo Chen Yujie Lu Hui Wang Changxin Tian Xingyu Pan 2020. RecBole: Towards a Unified Comprehensive and Efficient Framework for Recommendation Algorithms. arXiv preprint arXiv:2011.01731(2020)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240374"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219886"},{"key":"e_1_3_2_1_21_1","unstructured":"Xiangyu Zhao Liang Zhang Long Xia Zhuoye Ding Dawei Yin and Jiliang Tang. 2017. Deep reinforcement learning for list-wise recommendations. arXiv preprint arXiv:1801.00209(2017).  Xiangyu Zhao Liang Zhang Long Xia Zhuoye Ding Dawei Yin and Jiliang Tang. 2017. Deep reinforcement learning for list-wise recommendations. arXiv preprint arXiv:1801.00209(2017)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185994"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330668"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371801"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401181"}],"event":{"name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia","acronym":"WWW '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449846","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3449846","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:22Z","timestamp":1750195462000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449846"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":25,"alternative-id":["10.1145\/3442381.3449846","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3449846","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}