{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:48:23Z","timestamp":1759772903649,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,14]]},"DOI":"10.1145\/3604915.3609496","type":"proceedings-article","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T22:40:23Z","timestamp":1694731223000},"page":"1286-1287","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["User Behavior Modeling with Deep Learning for Recommendation: Recent Advances"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9148-3997","authenticated-orcid":false,"given":"Weiwen","family":"Liu","sequence":"first","affiliation":[{"name":"Huawei Noah's Ark Lab, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8616-0221","authenticated-orcid":false,"given":"Wei","family":"Guo","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9031-9696","authenticated-orcid":false,"given":"Yong","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9224-2431","authenticated-orcid":false,"given":"Ruiming","family":"Tang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9921-2078","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}]}],"member":"320","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583312"},{"key":"e_1_3_2_1_2_1","volume-title":"A Survey on User Behavior Modeling in Recommender Systems. arXiv preprint arXiv:2302.11087","author":"He Zhicheng","year":"2023","unstructured":"Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, and Ruiming Tang. 2023. A Survey on User Behavior Modeling in Recommender Systems. arXiv preprint arXiv:2302.11087 (2023)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Bal\u00e1zs Hidasi Massimo Quadrana and Alexandros\u00a0Karatzoglou et al. 2016. Parallel recurrent neural network architectures for feature-rich session-based recommendations. In RecSys.","DOI":"10.1145\/2959100.2959167"},{"key":"e_1_3_2_1_4_1","unstructured":"Yifan Hu Yehuda Koren and Chris Volinsky. 2008. Collaborative Filtering for Implicit Feedback Datasets. In ICDM."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557391"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467189"},{"key":"e_1_3_2_1_7_1","volume-title":"PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. In Companion Proceedings of the Web Conference","author":"Li Yi","year":"2022","unstructured":"Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, and Xiuqiang He. 2022. PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. In Companion Proceedings of the Web Conference 2022. 62\u201366."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3547369"},{"key":"e_1_3_2_1_9_1","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."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3547369"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Qi Pi Guorui Zhou and Yujing\u00a0Zhang et al. 2020. Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction. In CIKM.","DOI":"10.1145\/3340531.3412744"},{"key":"e_1_3_2_1_12_1","unstructured":"Jiarui Qin Weinan Zhang and Xin\u00a0Wu et al. 2020. User behavior retrieval for click-through rate prediction. In SIGIR."},{"key":"e_1_3_2_1_13_1","volume-title":"Learning to Retrieve User Behaviors for Click-Through Rate Estimation. ACM Transactions on Information Systems","author":"Qin Jiarui","year":"2023","unstructured":"Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, and Yong Yu. 2023. Learning to Retrieve User Behaviors for Click-Through Rate Estimation. ACM Transactions on Information Systems (2023)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532026"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532023"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557289"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Weinan Zhang Jiarui Qin and Wei\u00a0Guo et al. 2021. Deep Learning for Click-Through Rate Estimation. In IJCAI.","DOI":"10.24963\/ijcai.2021\/636"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Yixin Zhang Yong Liu Hao Xiong Yi Liu Fuqiang Yu Wei He Yonghui Xu Lizhen Cui and Chunyan Miao. 2023. Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.","DOI":"10.1109\/ICDE55515.2023.00226"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/333"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3251352"}],"event":{"name":"RecSys '23: Seventeenth ACM Conference on Recommender Systems","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGecom Special Interest Group on Economics and Computation"],"location":"Singapore Singapore","acronym":"RecSys '23"},"container-title":["Proceedings of the 17th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3609496","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604915.3609496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:35Z","timestamp":1750178795000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3609496"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":20,"alternative-id":["10.1145\/3604915.3609496","10.1145\/3604915"],"URL":"https:\/\/doi.org\/10.1145\/3604915.3609496","relation":{},"subject":[],"published":{"date-parts":[[2023,9,14]]},"assertion":[{"value":"2023-09-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}