Equivariant Learning for Out-of-Distribution Cold-start Recommendation-Reference-Cited by-同舟云学术

Equivariant Learning for Out-of-Distribution Cold-start Recommendation

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Wang Wenjie¹^ORCID,Lin Xinyu¹^ORCID,Wang Liuhui²^ORCID,Feng Fuli³^ORCID,Wei Yinwei⁴^ORCID,Chua Tat-Seng¹^ORCID

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. Peking University, Beijing, China

3. University of Science and Technology of China, Hefei, China

4. Monash University, Melbourne, Australia

Funder

Huawei International Pte Ltd

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612522

Reference69 articles.

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2. Yogesh Balaji , Swami Sankaranarayanan , and Rama Chellappa . 2018 . Metareg: Towards domain generalization using meta-regularization. NeurIPS. Yogesh Balaji, Swami Sankaranarayanan, and Rama Chellappa. 2018. Metareg: Towards domain generalization using meta-regularization. NeurIPS.

3. Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach

4. Oren Barkan Noam Koenigstein Eylon Yogev and Ori Katz. 2019. CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. In RecSys. ACM 228--236. Oren Barkan Noam Koenigstein Eylon Yogev and Ori Katz. 2019. CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. In RecSys. ACM 228--236.

5. Invariance, causality and robustness;Bühlmann Peter;Statist. Sci.,2020

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