{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T01:27:30Z","timestamp":1773106050539,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6240630"],"award-info":[{"award-number":["6240630"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Anhui Province Science and Technology Innovation Project","award":["02423k09020010"],"award-info":[{"award-number":["02423k09020010"]}]},{"name":"Anhui Provincial Natural Science Foundation","award":["2308085QF229"],"award-info":[{"award-number":["2308085QF229"]}]},{"DOI":"10.13039\/501100006374","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["WK2150110034"],"award-info":[{"award-number":["WK2150110034"]}],"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":[[2025,7,13]]},"DOI":"10.1145\/3726302.3730200","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:38:52Z","timestamp":1752457132000},"page":"2870-2874","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4273-2509","authenticated-orcid":false,"given":"Junzhe","family":"Jiang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, HeFei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5335-2470","authenticated-orcid":false,"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3898-0176","authenticated-orcid":false,"given":"Junfeng","family":"Kang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, HeFei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0685-0834","authenticated-orcid":false,"given":"Yucong","family":"Luo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, HeFei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4605-0341","authenticated-orcid":false,"given":"Min","family":"Gao","sequence":"additional","affiliation":[{"name":"The First Affiliated Hospital of the USTC, University of Science and Technology of China, HeFei, China"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00140"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412697"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330670"},{"key":"e_1_3_2_1_5_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-5555-4_25"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401072"},{"key":"e_1_3_2_1_8_1","first-page":"197","article-title":"Self-attentive sequential recommendation. In 2018 IEEE Int'l Conf. on Data Mining (ICDM)","author":"Kang Wang-Cheng","year":"2018","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In 2018 IEEE Int'l Conf. on Data Mining (ICDM). IEEE, 197-206.","journal-title":"IEEE"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220014"},{"key":"e_1_3_2_1_11_1","volume-title":"Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 438-447","author":"Liu Yang","year":"2023","unstructured":"Yang Liu, Qianzhen Rao, Weike Pan, and Zhong Ming. 2023. Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. In 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 438-447."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679730"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412744"},{"key":"e_1_3_2_1_14_1","volume-title":"Test Long: Attention with Linear Biases Enables Input Length Extrapolation. In International Conference on Learning Representations.","author":"Press Ofir","year":"2021","unstructured":"Ofir Press, Noah Smith, and Mike Lewis. 2021. Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611723"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380002"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380077"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401445"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462972"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/447"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539342"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532023"},{"key":"e_1_3_2_1_26_1","unstructured":"Jiaqi Zhai Lucy Liao Xing Liu Yueming Wang Rui Li Xuan Cao Leon Gao Zhaojie Gong Fangda Gu Michael He et al. 2024. Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations. arXiv preprint arXiv:2402.17152 (2024)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","unstructured":"Hao Zhang Mingyue Cheng Qi Liu Zhiding Liu Junzhe Jiang and Enhong Chen. 2025. AutoSAM : Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems . doi:10.48550\/arXiv.2311.00388 arxiv:2311.00388 [cs]","DOI":"10.48550\/arXiv.2311.00388"},{"key":"e_1_3_2_1_28_1","first-page":"377","article-title":"Eatn: An efficient adaptive transfer network for aspect-level sentiment analysis","volume":"35","author":"Zhang Kai","year":"2021","unstructured":"Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, and Enhong Chen. 2021a. Eatn: An efficient adaptive transfer network for aspect-level sentiment analysis. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, 1 (2021), 377-389.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441761"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015773"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679955"},{"key":"e_1_3_2_1_32_1","first-page":"4320","author":"Zhang Tingting","year":"2019","unstructured":"Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou, et al., 2019b. Feature-level Deeper Self-Attention Network for Sequential Recommendation. In IJCAI. 4320-4326.","journal-title":"Feature-level Deeper Self-Attention Network for Sequential Recommendation. In IJCAI."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_34_1","first-page":"413","volume-title":"Temporal Interest Network for User Response Prediction. In Companion Proceedings of the ACM on Web Conference","author":"Zhou Haolin","year":"2024","unstructured":"Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, and Guihai Chen. 2024. Temporal Interest Network for User Response Prediction. In Companion Proceedings of the ACM on Web Conference 2024. 413-422."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159671"}],"event":{"name":"SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Padua Italy","acronym":"SIGIR '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"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\/3726302.3730200","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:10:14Z","timestamp":1755864614000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3730200"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":36,"alternative-id":["10.1145\/3726302.3730200","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3730200","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"}}]}}