Contrastive Meta Learning with Behavior Multiplicity for Recommendation-Reference-Cited by-同舟云学术

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

Published:2022-02-11 Issue: Volume: Page:
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Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
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Author:

Wei Wei¹,Huang Chao²,Xia Lianghao³,Xu Yong⁴,Zhao Jiashu⁵,Yin Dawei⁶

Affiliation:

1. University of Hong Kong & South China University of Technology, Hong Kong, Hong Kong

2. University of Hong Kong, Hong Kong, Hong Kong

3. University of Hong Kong, Hong Kong, China

4. South China University of Technology, Guangzhou, China

5. Wilfrid Laurier University, Waterloo, Canada

6. Baidu Inc., Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498527

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4. Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and Tat-Seng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. 335--344. Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and Tat-Seng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. 335--344.

5. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020 a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020 a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607.

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