{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T07:48:25Z","timestamp":1778312905291,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61877044"],"award-info":[{"award-number":["61877044"]}]},{"name":"National Natural Science Foundation of China","award":["61877043"],"award-info":[{"award-number":["61877043"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,27]]},"DOI":"10.1145\/3539597.3570411","type":"proceedings-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T23:27:00Z","timestamp":1677108420000},"page":"411-419","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":92,"title":["Multi-Intention Oriented Contrastive Learning for Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5330-7298","authenticated-orcid":false,"given":"Xuewei","family":"Li","sequence":"first","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6369-3949","authenticated-orcid":false,"given":"Aitong","family":"Sun","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1571-8771","authenticated-orcid":false,"given":"Mankun","family":"Zhao","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6154-4800","authenticated-orcid":false,"given":"Jian","family":"Yu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4944-4940","authenticated-orcid":false,"given":"Kun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7445-9936","authenticated-orcid":false,"given":"Di","family":"Jin","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5169-4829","authenticated-orcid":false,"given":"Mei","family":"Yu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4039-2355","authenticated-orcid":false,"given":"Ruiguo","family":"Yu","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Empirical analysis of predictive algorithms for collaborative filtering. arXiv preprint arXiv:1301.7363","author":"Breese John S","year":"2013","unstructured":"John S Breese, David Heckerman, and Carl Kadie. 2013. Empirical analysis of predictive algorithms for collaborative filtering. arXiv preprint arXiv:1301.7363 (2013)."},{"key":"e_1_3_2_2_2_1","unstructured":"Renqin Cai Jibang Wu Aidan San Chong Wang and Hongning Wang. 2021. Category-aware collaborative sequential recommendation. In SIGIR. 388--397."},{"key":"e_1_3_2_2_3_1","unstructured":"Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00125"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Wanyu Chen Pengjie Ren Fei Cai Fei Sun and Maarten de Rijke. 2020b. Improving end-to-end sequential recommendations with intent-aware diversification. In CIKM. 175--184.","DOI":"10.1145\/3340531.3411897"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Yongjun Chen Zhiwei Liu Jia Li Julian McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW. 2172--2182.","DOI":"10.1145\/3485447.3512090"},{"key":"e_1_3_2_2_7_1","unstructured":"Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In IJCAI. 2605--2611."},{"key":"e_1_3_2_2_8_1","unstructured":"Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba and Stefanie Jegelka. 2020. Debiased Contrastive Learning. In NeurIPS."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Ziwei Fan Zhiwei Liu Yu Wang Alice Wang Zahra Nazari Lei Zheng Hao Peng and Philip S Yu. 2022. Sequential Recommendation via Stochastic Self-Attention. In WWW. 2036--2047.","DOI":"10.1145\/3485447.3512077"},{"key":"e_1_3_2_2_10_1","volume-title":"Memory-augmented dense predictive coding for video representation learning","author":"Han Tengda","unstructured":"Tengda Han, Weidi Xie, and Andrew Zisserman. 2020a. Memory-augmented dense predictive coding for video representation learning. In ECCV. Springer, 312--329."},{"key":"e_1_3_2_2_11_1","first-page":"5679","article-title":"Self-supervised co-training for video representation learning","volume":"33","author":"Han Tengda","year":"2020","unstructured":"Tengda Han, Weidi Xie, and Andrew Zisserman. 2020b. Self-supervised co-training for video representation learning. Advances in Neural Information Processing Systems, Vol. 33 (2020), 5679--5690.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_12_1","unstructured":"Kaiming He Haoqi Fan Yuxin Wu Saining Xie and Ross Girshick. 2020. Momentum contrast for unsupervised visual representation learning. In CVPR. 9729--9738."},{"key":"e_1_3_2_2_13_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks. In ICLR."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Wendi Ji Keqiang Wang Xiaoling Wang Tingwei Chen and Alexandra Cristea. 2020. Sequential recommender via time-aware attentive memory network. In CIKM. 565--574.","DOI":"10.1145\/3340531.3411869"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-attentive sequential recommendation. In ICDM. 197--206.","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_17_1","volume-title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In ICLR.","author":"Lan Zhenzhong","year":"2020","unstructured":"Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. In ICLR."},{"key":"e_1_3_2_2_18_1","unstructured":"Jiacheng Li Yujie Wang and Julian McAuley. 2020. Time interval aware self-attention for sequential recommendation. In WSDM. 322--330."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"Kaiyuan Li Pengfei Wang and Chenliang Li. 2022. Multi-Agent RL-based Information Selection Model for Sequential Recommendation. In SIGIR. 1622--1631.","DOI":"10.1145\/3477495.3532022"},{"key":"e_1_3_2_2_20_1","volume-title":"Cheng Wang, Peng Jiang, and Ji-Rong Wen.","author":"Lin Zihan","year":"2022","unstructured":"Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, and Ji-Rong Wen. 2022. Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. In KDD. 3327--3335."},{"key":"e_1_3_2_2_21_1","volume-title":"Contrastive self-supervised sequential recommendation with robust augmentation. arXiv preprint arXiv:2108.06479","author":"Liu Zhiwei","year":"2021","unstructured":"Zhiwei Liu, Yongjun Chen, Jia Li, Philip S Yu, Julian McAuley, and Caiming Xiong. 2021a. Contrastive self-supervised sequential recommendation with robust augmentation. arXiv preprint arXiv:2108.06479 (2021)."},{"key":"e_1_3_2_2_22_1","volume-title":"Yu","author":"Liu Zhiwei","year":"2021","unstructured":"Zhiwei Liu, Ziwei Fan, Yu Wang, and Philip S. Yu. 2021b. Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. In SIGIR."},{"key":"e_1_3_2_2_23_1","unstructured":"Jianxin Ma Peng Cui Kun Kuang Xin Wang and Wenwu Zhu. 2019a. Disentangled graph convolutional networks. In ICML. 4212--4221."},{"key":"e_1_3_2_2_24_1","unstructured":"Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019b. Learning Disentangled Representations for Recommendation. In NeurIPS. 5712--5723."},{"key":"e_1_3_2_2_25_1","unstructured":"Jianxin Ma Chang Zhou Hongxia Yang Peng Cui Xin Wang and Wenwu Zhu. 2020. Disentangled self-supervision in sequential recommenders. In KDD. 483--491."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Julian McAuley Christopher Targett Qinfeng Shi and Anton Van Den Hengel. 2015. Image-based recommendations on styles and substitutes. In SIGIR. 43--52.","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-017-0462-9"},{"key":"e_1_3_2_2_28_1","unstructured":"Ruihong Qiu Zi Huang Hongzhi Yin and Zijian Wang. 2022. Contrastive learning for representation degeneration problem in sequential recommendation. In WSDM. 813--823."},{"key":"e_1_3_2_2_29_1","volume-title":"Hui Wang, Bolin Ding, and Ji-Rong Wen.","author":"Ren Ruiyang","year":"2020","unstructured":"Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, and Ji-Rong Wen. 2020. Sequential recommendation with self-attentive multi-adversarial network. In SIGIR. 89--98."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factorizing personalized markov chains for next-basket recommendation. In WWW. 811--820.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In CIKM. 1441--1450.","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_2_32_1","unstructured":"Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang and Xia Hu. 2021. Sparse-interest network for sequential recommendation. In WSDM. 598--606."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Jiaxi Tang and Ke Wang. 2018. Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM. 565--573.","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Md Mehrab Tanjim Congzhe Su Ethan Benjamin Diane Hu Liangjie Hong and Julian McAuley. 2020. Attentive sequential models of latent intent for next item recommendation. In WWW. 2528--2534.","DOI":"10.1145\/3366423.3380002"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Xiaohai Tong Pengfei Wang Chenliang Li Long Xia and Shaozhang Niu. 2021. Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. In IJCAI. 1593--1599.","DOI":"10.24963\/ijcai.2021\/220"},{"key":"e_1_3_2_2_36_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is All you Need. In NIPS. 5998--6008."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"Shoujin Wang Liang Hu Yan Wang Quan Z Sheng Mehmet Orgun and Longbing Cao. 2019. Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks. In IJCAI.","DOI":"10.24963\/ijcai.2019\/523"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu and Tat-Seng Chua. 2020. Disentangled graph collaborative filtering. In SIGIR. 1001--1010.","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_2_39_1","unstructured":"Chao-Yuan Wu Amr Ahmed Alex Beutel Alexander J. Smola and How Jing. 2017. Recurrent Recommender Networks. In WSDM. 495--503."},{"key":"e_1_3_2_2_40_1","unstructured":"Jibang Wu Renqin Cai and Hongning Wang. 2020. D\u00e9j\u00e0 vu: A contextualized temporal attention mechanism for sequential recommendation. In WWW. 2199--2209."},{"key":"e_1_3_2_2_41_1","unstructured":"Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li and Ke Tang. 2022. Disentangled contrastive learning for social recommendation. In CIKM. 4570--4574."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian and Xing Xie. 2021. Self-supervised graph learning for recommendation. In SIGIR. 726--735.","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_2_43_1","volume-title":"Contrastive Learning for Sequential Recommendation. arXiv preprint arXiv:2010.14395","author":"Xie Xu","year":"2020","unstructured":"Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Bolin Ding, and Bin Cui. 2020. Contrastive Learning for Sequential Recommendation. arXiv preprint arXiv:2010.14395 (2020)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Yuhao Yang Chao Huang Lianghao Xia Yuxuan Liang Yanwei Yu and Chenliang Li. 2022. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. In KDD. 2263--2274.","DOI":"10.1145\/3534678.3539342"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","unstructured":"Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis Joemon M Jose and Xiangnan He. 2019. A simple convolutional generative network for next item recommendation. In WSDM. 582--590.","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"Xu Yuan Hongshen Chen Yonghao Song Xiaofang Zhao Zhuoye Ding Zhen He and Bo Long. 2021. Improving Sequential Recommendation Consistency with Self-Supervised Imitation. In IJCAI. 3321--3327.","DOI":"10.24963\/ijcai.2021\/457"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Yan Zhang Hongzhi Yin Zi Huang Xingzhong Du Guowu Yang and Defu Lian. 2018. Discrete deep learning for fast content-aware recommendation. In WSDM. 717--726.","DOI":"10.1145\/3159652.3159688"},{"key":"e_1_3_2_2_48_1","volume-title":"Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen.","author":"Zhou Kun","year":"2020","unstructured":"Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020. S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization. In CIKM. 1893--1902."}],"event":{"name":"WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining","location":"Singapore Singapore","acronym":"WSDM '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570411","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539597.3570411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:30Z","timestamp":1750182690000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570411"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,27]]},"references-count":48,"alternative-id":["10.1145\/3539597.3570411","10.1145\/3539597"],"URL":"https:\/\/doi.org\/10.1145\/3539597.3570411","relation":{},"subject":[],"published":{"date-parts":[[2023,2,27]]},"assertion":[{"value":"2023-02-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}