Contrastive Collaborative Filtering for Cold-Start Item Recommendation-Reference-Cited by-同舟云学术

Contrastive Collaborative Filtering for Cold-Start Item Recommendation

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Zhou Zhihui¹^ORCID,Zhang Lilin¹^ORCID,Yang Ning¹^ORCID

Affiliation:

1. Sichuan University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583286

Reference46 articles.

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3. [ 3 ] Hao Chen Zefan Wang Feiran Huang Xiao Huang Yue Xu Yishi Lin Peng He and Zhoujun Li. 2022. Generative Adversarial Framework for Cold-Start Item Recommendation. In SIGIR. [3] Hao Chen Zefan Wang Feiran Huang Xiao Huang Yue Xu Yishi Lin Peng He and Zhoujun Li. 2022. Generative Adversarial Framework for Cold-Start Item Recommendation. In SIGIR.

4. [ 4 ] Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML. [4] Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML.

5. [ 5 ] Yongjun Chen Zhiwei Liu Jia Li Julian McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW. [5] Yongjun Chen Zhiwei Liu Jia Li Julian McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW.

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