{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T10:21:35Z","timestamp":1771928495913,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["No. 22D111210, 22D111207"],"award-info":[{"award-number":["No. 22D111210, 22D111207"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Science and Technology Commission","award":["No. 22YF1401100"],"award-info":[{"award-number":["No. 22YF1401100"]}]},{"name":"National Science Fund for Young Scholars","award":["No. 62202095"],"award-info":[{"award-number":["No. 62202095"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3612250","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:30Z","timestamp":1698391650000},"page":"6332-6339","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A Contrastive Learning Framework for Dual-Target Cross-Domain Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4589-9948","authenticated-orcid":false,"given":"Jinhu","family":"Lu","sequence":"first","affiliation":[{"name":"Donghua University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-0598","authenticated-orcid":false,"given":"Guohao","family":"Sun","sequence":"additional","affiliation":[{"name":"Donghua University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1527-9270","authenticated-orcid":false,"given":"Xiu","family":"Fang","sequence":"additional","affiliation":[{"name":"Donghua University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4408-1952","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Macquarie University, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6203-4172","authenticated-orcid":false,"given":"Wei","family":"He","sequence":"additional","affiliation":[{"name":"Donghua University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Immanuel Bayer Xiangnan He Bhargav Kanagal and Steffen Rendle. 2017. A generic coordinate descent framework for learning from implicit feedback. In WWW. 1341--1350.","DOI":"10.1145\/3038912.3052694"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Shlomo Berkovsky Tsvi Kuflik and Francesco Ricci. 2007. Cross-domain mediation in collaborative filtering. In ICUM. 355--359.","DOI":"10.1007\/978-3-540-73078-1_44"},{"key":"e_1_3_2_1_3_1","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume":"33","author":"Caron Mathilde","year":"2020","unstructured":"Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin. 2020. Unsupervised learning of visual features by contrasting cluster assignments. NeurIPS, Vol. 33 (2020), 9912--9924.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Mathilde Caron Hugo Touvron Ishan Misra Herv\u00e9 J\u00e9gou Julien Mairal Piotr Bojanowski and Armand Joulin. 2021. Emerging properties in self-supervised vision transformers. In CVPR. 9650--9660.","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"e_1_3_2_1_5_1","unstructured":"Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020a. A simple framework for contrastive learning of visual representations. In ICML. 1597--1607."},{"key":"e_1_3_2_1_6_1","first-page":"22243","article-title":"Big self-supervised models are strong semi-supervised learners","volume":"33","author":"Chen Ting","year":"2020","unstructured":"Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey E Hinton. 2020b. Big self-supervised models are strong semi-supervised learners. NeurIPS, Vol. 33 (2020), 22243--22255.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Xinlei Chen and Kaiming He. 2021. Exploring simple siamese representation learning. In CVPR. 15750--15758.","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"e_1_3_2_1_8_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_1_9_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_10_1","first-page":"21271","article-title":"Bootstrap your own latent-a new approach to self-supervised learning","volume":"33","author":"Grill Jean-Bastien","year":"2020","unstructured":"Jean-Bastien Grill, Florian Strub, Florent Altch\u00e9, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan 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. NeurIPS, Vol. 33 (2020), 21271--21284.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. In SIGKDD. 855--864.","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_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_1_13_1","doi-asserted-by":"crossref","unstructured":"Ruining He and Julian McAuley. 2016. Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In WWW. 507--517.","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Wei He Guohao Sun Jinhu Lu and Xiu Susie Fang. 2023. Candidate-aware Graph Contrastive Learning for Recommendation. In SIGIR. 1670--1679.","DOI":"10.1145\/3539618.3591647"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806504"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Hanwang Zhang Min-Yen Kan and Tat-Seng Chua. 2016. Fast matrix factorization for online recommendation with implicit feedback. In SIGIR. 549--558.","DOI":"10.1145\/2911451.2911489"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271684"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"SeongKu Kang Junyoung Hwang Dongha Lee and Hwanjo Yu. 2019. Semi-supervised learning for cross-domain recommendation to cold-start users. In CIKM. 1563--1572.","DOI":"10.1145\/3357384.3357914"},{"key":"e_1_3_2_1_20_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_1_21_1","unstructured":"Nikos Komodakis and Spyros Gidaris. 2018. Unsupervised representation learning by predicting image rotations. In ICLR."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In SIGKDD. 426--434.","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_23_1","unstructured":"Quoc Le and Tomas Mikolov. 2014. Distributed representations of sentences and documents. In ICML. 1188--1196."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Dongha Lee SeongKu Kang Hyunjun Ju Chanyoung Park and Hwanjo Yu. 2021. Bootstrapping user and item representations for one-class collaborative filtering. In SIGIR. 317--326.","DOI":"10.1145\/3404835.3462935"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371793"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Zihan Lin Changxin Tian Yupeng Hou and Wayne Xin Zhao. 2022. Improving graph collaborative filtering with neighborhood-enriched contrastive learning. In WWW. 2320--2329.","DOI":"10.1145\/3485447.3512104"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Jinhu Lu Guohao Sun Xiu Fang Jian Yang and Wei He. 2023. A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain Recommendation. In DASFAA. 297--313.","DOI":"10.1007\/978-3-031-30672-3_20"},{"key":"e_1_3_2_1_28_1","first-page":"2464","article-title":"Cross-domain recommendation: An embedding and mapping approach","volume":"17","author":"Man Tong","year":"2017","unstructured":"Tong Man, Huawei Shen, Xiaolong Jin, and Xueqi Cheng. 2017. Cross-domain recommendation: An embedding and mapping approach.. In IJCAI, Vol. 17. 2464--2470.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_29_1","volume-title":"Steven Bethard, and David McClosky.","author":"Manning Christopher D","year":"2014","unstructured":"Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014. The Stanford CoreNLP natural language processing toolkit. In ACL System Demonstrations. 55--60."},{"key":"e_1_3_2_1_30_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)."},{"key":"e_1_3_2_1_31_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618","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)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Yonglong Tian Dilip Krishnan and Phillip Isola. 2020. Contrastive multiview coding. In ECCV. 776--794.","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"e_1_3_2_1_33_1","first-page":"20407","article-title":"Contrastive Graph Structure Learning via Information Bottleneck for Recommendation","volume":"35","author":"Wei Chunyu","year":"2022","unstructured":"Chunyu Wei, Jian Liang, Di Liu, and Fei Wang. 2022. Contrastive Graph Structure Learning via Information Bottleneck for Recommendation. NeurIPS, Vol. 35, 20407--20420.","journal-title":"NeurIPS"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Yinwei Wei Xiang Wang Qi Li Liqiang Nie Yan Li Xuanping Li and Tat-Seng Chua. 2021. Contrastive learning for cold-start recommendation. In ACM MM. 5382--5390.","DOI":"10.1145\/3474085.3475665"},{"key":"e_1_3_2_1_35_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_36_1","doi-asserted-by":"crossref","unstructured":"Ruobing Xie Qi Liu Liangdong Wang Shukai Liu Bo Zhang and Leyu Lin. 2022. Contrastive cross-domain recommendation in matching. In SIGKDD. 4226--4236.","DOI":"10.1145\/3534678.3539125"},{"key":"e_1_3_2_1_37_1","first-page":"3203","article-title":"Deep matrix factorization models for recommender systems","volume":"17","author":"Xue Hong-Jian","year":"2017","unstructured":"Hong-Jian Xue, Xinyu Dai, Jianbing Zhang, Shujian Huang, and Jiajun Chen. 2017. Deep matrix factorization models for recommender systems.. In IJCAI, Vol. 17. 3203--3209.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_38_1","volume-title":"Felix Yu, Ting Chen, Aditya Menon, Lichan Hong, Ed H Chi, Steve Tjoa, Jieqi Kang, and Evan Ettinger.","author":"Yao Tiansheng","year":"2021","unstructured":"Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Ting Chen, Aditya Menon, Lichan Hong, Ed H Chi, Steve Tjoa, Jieqi Kang, and Evan Ettinger. 2021. Self-supervised learning for large-scale item recommendations. In CIKM. 4321--4330."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Junliang Yu Hongzhi Yin Xin Xia Tong Chen Lizhen Cui and Quoc Viet Hung Nguyen. 2022a. Are graph augmentations necessary? simple graph contrastive learning for recommendation. In SIGIR. 1294--1303.","DOI":"10.1145\/3477495.3531937"},{"key":"e_1_3_2_1_40_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. 2022b. Self-Supervised Learning for Recommender Systems: A Survey. arXiv preprint arXiv:2203.15876 (2022)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357992"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Feng Zhu Yan Wang Chaochao Chen Guanfeng Liu and Xiaolin Zheng. 2020. A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.. In IJCAI. 3001--3008.","DOI":"10.24963\/ijcai.2020\/415"},{"key":"e_1_3_2_1_43_1","volume-title":"Cross-domain recommendation: challenges, progress, and prospects. arXiv preprint arXiv:2103.01696","author":"Zhu Feng","year":"2021","unstructured":"Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, and Guanfeng Liu. 2021. Cross-domain recommendation: challenges, progress, and prospects. arXiv preprint arXiv:2103.01696 (2021)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Yongchun Zhu Zhenwei Tang Yudan Liu Fuzhen Zhuang Ruobing Xie Xu Zhang Leyu Lin and Qing He. 2022. Personalized transfer of user preferences for cross-domain recommendation. In WSDM. 1507--1515.","DOI":"10.1145\/3488560.3498392"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","location":"Ottawa ON Canada","acronym":"MM '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612250","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3612250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:02:45Z","timestamp":1755820965000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612250"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":44,"alternative-id":["10.1145\/3581783.3612250","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3612250","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}