{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T21:57:03Z","timestamp":1784757423518,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSFC","award":["61876117, 62176175"],"award-info":[{"award-number":["61876117, 62176175"]}]},{"name":"the major project of natural science research in Universities of Jiangsu Province","award":["21KJA520004"],"award-info":[{"award-number":["21KJA520004"]}]},{"name":"Suzhou Science and Technology Development Program","award":["SYC2022139"],"award-info":[{"award-number":["SYC2022139"]}]},{"name":"the Priority Academic Program Development of Jiangsu Higher Education Institutions"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591727","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"89-98","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":57,"title":["Meta-optimized Contrastive Learning for Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1118-6915","authenticated-orcid":false,"given":"Xiuyuan","family":"Qin","sequence":"first","affiliation":[{"name":"Soochow University, Jiang Su, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7592-8925","authenticated-orcid":false,"given":"Huanhuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"Soochow University, Jiang Su, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0565-1529","authenticated-orcid":false,"given":"Pengpeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Soochow University, Jiang Su, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5073-7137","authenticated-orcid":false,"given":"Junhua","family":"Fang","sequence":"additional","affiliation":[{"name":"Soochow University, Jiang Su, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0520-2619","authenticated-orcid":false,"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Beihang University, Bei Jing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8980-4950","authenticated-orcid":false,"given":"Guanfeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Macquarie University, Balaclava Rd, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8187-6762","authenticated-orcid":false,"given":"Yanchi","family":"Liu","sequence":"additional","affiliation":[{"name":"Rutgers University, New Brunswick, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4960-174X","authenticated-orcid":false,"given":"Victor","family":"Sheng","sequence":"additional","affiliation":[{"name":"Texas Tech University, Lubbock, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Mingyuan Zhou, and Xiaoning Qian.","author":"Boluki Shahin","year":"2020","unstructured":"Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, and Xiaoning Qian. 2020. Learnable Bernoulli Dropout for Bayesian Deep Learning. In AISTATS. 3905--3916."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential Recommendation with Graph Neural Networks. In SIGIR. 378--387.","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_3_1","volume-title":"Hinton","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML. 1597--1607."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Xusong Chen Dong Liu Chenyi Lei Rui Li Zheng-Jun Zha and Zhiwei Xiong. 2019. BERT4SessRec: Content-based video relevance prediction with bidirectional encoder representations from transformer. In MM. 2597--2601.","DOI":"10.1145\/3343031.3356051"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Yongjun Chen Zhiwei Liu Jia Li Julian J. 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_1_6_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. 4171--4186.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT. 4171--4186."},{"key":"e_1_3_2_1_7_1","volume-title":"BERT: Pre-training of deep bidirectional transformers for language understanding. In NAACL. 4171--4186.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In NAACL. 4171--4186."},{"key":"e_1_3_2_1_8_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou and Jie Tang. 2019. Sequential scenario-specific meta learner for online recommendation. In KDD. 2895--2904.","DOI":"10.1145\/3292500.3330726"},{"key":"e_1_3_2_1_10_1","volume-title":"Yu","author":"Fan Ziwei","year":"2022","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."},{"key":"e_1_3_2_1_11_1","unstructured":"Chelsea Finn Pieter Abbeel and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In ICML. 1126--1135."},{"key":"e_1_3_2_1_12_1","volume-title":"Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, R\u00e9mi Munos, and Michal Valko.","author":"Grill Jean-Bastien","year":"2020","unstructured":"Jean-Bastien Grill, Florian Strub, Florent Altch\u00e9, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, R\u00e9mi Munos, and Michal Valko. 2020. Bootstrap your own latent: A new approach to self-supervised learning. In NeurIPS. 21271--21284."},{"key":"e_1_3_2_1_13_1","volume-title":"Sheng","author":"Hao Yongjing","year":"2022","unstructured":"Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, and Victor S. Sheng. 2022. Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. arXiv preprint arXiv:2204.10128 (2022)."},{"key":"e_1_3_2_1_14_1","unstructured":"Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Doll\u00e1r and Ross Girshick. 2022. Masked autoencoders are scalable vision learners. In CVPR. 16000--16009."},{"key":"e_1_3_2_1_15_1","volume-title":"Girshick","author":"He Kaiming","year":"2020","unstructured":"Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross B. Girshick. 2020. Momentum contrast for unsupervised visual representation Learning. In CVPR. 9726--9735."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Bal\u00e1zs Hidasi and Alexandros Karatzoglou. 2018. Recurrent neural networks with top-k gains for session-based recommendations. In CIKM. 843--852.","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_1_17_1","volume-title":"McAuley","author":"Kang Wang-Cheng","year":"2018","unstructured":"Wang-Cheng Kang and Julian J. McAuley. 2018. Self-attentive sequential recom-mendation. In ICDM. 197--206."},{"key":"e_1_3_2_1_18_1","unstructured":"Zhuoliang Kang Kristen Grauman and Fei Sha. 2011. Learning with Whom to Share in Multi-task Feature Learning. In ICML. 521--528."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin and Jae-Gil Lee. 2022. Meta-learning for online update of recommender systems. In AAAI. 4065--4074.","DOI":"10.1609\/aaai.v36i4.20324"},{"key":"e_1_3_2_1_20_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In ICLR."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Walid Krichene and Steffen Rendle. 2020. On sampled metrics for item recom- mendation. In KDD. 1748--1757.","DOI":"10.1145\/3394486.3403226"},{"key":"e_1_3_2_1_22_1","unstructured":"Jiangmeng Li Wenwen Qiang Changwen Zheng Bing Su and Hui Xiong. 2022. MetAug: Contrastive learning via meta feature augmentation. In ICML. 12964--12978."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Yang Li Tong Chen Peng-Fei Zhang and Hongzhi Yin. 2021. Lightweight Self-Attentive Sequential Recommendation. In CIKM. 967--977.","DOI":"10.1145\/3459637.3482448"},{"key":"e_1_3_2_1_24_1","unstructured":"Shikun Liu Andrew Davison and Edward Johns. 2019. Self-supervised generalisation with meta auxiliary learning. In NeurIPS. 1677--1687."},{"key":"e_1_3_2_1_25_1","volume-title":"Improving Contrastive Learning with Model Augmentation. arXiv preprint arXiv:2203.15508","author":"Liu Zhiwei","year":"2022","unstructured":"Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, and Caiming Xiong. 2022. Improving Contrastive Learning with Model Augmentation. arXiv preprint arXiv:2203.15508 (2022)."},{"key":"e_1_3_2_1_26_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. 2021. Contrastive self-supervised sequential recommendation with robust augmentation. arXiv preprint arXiv:2108.06479 (2021)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Yuanfu Lu Yuan Fang and Chuan Shi. 2020. Meta-learning on heterogeneous information networks for cold-start recommendation. In KDD. 1563--1573.","DOI":"10.1145\/3394486.3403207"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng and Zhenguo Li. 2020. MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. In WWW. 2507--2513.","DOI":"10.1145\/3366423.3379999"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Ruihong Qiu Zi Huang and Hongzhi Yin. 2021. Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. In ICDM. 519--528.","DOI":"10.1109\/ICDM51629.2021.00063"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Ruihong Qiu Zi Huang Hongzhi Yin and Zijian Wang. 2022. Contrastive learning for representation degeneration problem in sequential recommendation. In WSDM. 813--823.","DOI":"10.1145\/3488560.3498433"},{"key":"e_1_3_2_1_31_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. In UAI. 452--461.","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In UAI. 452--461."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Steffen Rendle Christoph Freudenthaler and Lars Schmidt-Thieme. 2010. Factor-izing personalized Markov chains for next-basket recommendation. In WWW. 811--820.","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482239"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_35_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_1_36_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_1_37_1","first-page":"3221","article-title":"Accelerating t-SNE using tree-based algorithms","volume":"15","author":"Der Maaten Laurens Van","year":"2014","unstructured":"Laurens Van Der Maaten. 2014. Accelerating t-SNE using tree-based algorithms. JMLR 15, 1 (2014), 3221--3245.","journal-title":"JMLR"},{"key":"e_1_3_2_1_38_1","volume-title":"Orgun","author":"Wang Shoujin","year":"2019","unstructured":"Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, and Mehmet A. Orgun. 2019. Sequential Recommender Systems: Challenges, Progress and Prospects. In IJCAI. 6332--6338."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural graph collaborative filtering. In SIGIR. 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Tianxin Wei Ziwei Wu Ruirui Li Ziniu Hu Fuli Feng Xiangnan He Yizhou Sun and Wei Wang. 2020. Fast adaptation for cold-start collaborative filtering with meta-learning. In ICDM. 661--670.","DOI":"10.1109\/ICDM50108.2020.00075"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Wei Wei Chao Huang Lianghao Xia Yong Xu Jiashu Zhao and Dawei Yin. 2022. Contrastive Meta Learning with Behavior Multiplicity for Recommendation. In WSDM. 1120--1128.","DOI":"10.1145\/3488560.3498527"},{"key":"e_1_3_2_1_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_1_43_1","doi-asserted-by":"crossref","unstructured":"Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie and Tieniu Tan. 2019. Session-Based Recommendation with Graph Neural Networks. In AAAI. 346--353.","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Xin Xia Hongzhi Yin Junliang Yu Qinyong Wang Lizhen Cui and Xiangliang Zhang. 2021. Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. In AAAI. 4503--4511.","DOI":"10.1609\/aaai.v35i5.16578"},{"key":"e_1_3_2_1_45_1","volume-title":"Contrastive pre-training for sequential recommendation. arXiv preprint arXiv:2010.14395","author":"Xie Xu","year":"2020","unstructured":"Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, and Bin Cui. 2020. Contrastive pre-training for sequential recommendation. arXiv preprint arXiv:2010.14395 (2020)."},{"key":"e_1_3_2_1_46_1","unstructured":"Eyal Yair and Allen Gersho. 1988. The Boltzmann perceptron network: A multi-layered feed-forward network equivalent to the Boltzmann machine. In NeurIPS. 116--123."},{"key":"e_1_3_2_1_47_1","volume-title":"Self-Supervised Learning for Recommender Systems: A Survey. arXiv preprint arXiv:2203.15876","author":"Yu Junliang","year":"2022","unstructured":"Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, and Zi Huang. 2022. Self-Supervised Learning for Recommender Systems: A Survey. arXiv preprint arXiv:2203.15876 (2022)."},{"key":"e_1_3_2_1_48_1","unstructured":"Jure Zbontar Li Jing Ishan Misra Yann LeCun and St\u00e9phane Deny. 2021. Barlow twins: Self-supervised learning via redundancy reduction. In ICML. 12310--12320."},{"key":"e_1_3_2_1_49_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."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu and Liang Wang. 2021. Graph contrastive learning with adaptive augmentation. In WWW. 2069--2080.","DOI":"10.1145\/3442381.3449802"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591727","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591727","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:00Z","timestamp":1750178820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591727"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":50,"alternative-id":["10.1145\/3539618.3591727","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591727","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}