Debiased Recommendation with Noisy Feedback-Reference-Cited by-同舟云学术

Debiased Recommendation with Noisy Feedback

Published:2024-08-24 Issue: Volume: Page:1576-1586
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Li Haoxuan¹^ORCID,Zheng Chunyuan²^ORCID,Wang Wenjie³^ORCID,Wang Hao⁴^ORCID,Feng Fuli⁵^ORCID,Zhou Xiao-Hua¹^ORCID

Affiliation:

1. Peking University, Beijing, China

2. University of California, San Diego, Beijing, China

3. National University of Singapore, Singapore, Singapore

4. Zhejiang University, Hangzhou, China

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

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671915

Reference89 articles.

1. Dana Angluin and Philip Laird. 1988. Learning from noisy examples. Machine learning (1988), 343--370.

2. Heejung Bang and James M Robins. 2005. Doubly robust estimation in missing data and causal inference models. Biometrics (2005), 962--973.

3. Stephen Bonner and Flavian Vasile. 2018. Causal embeddings for recommendation. In RecSys.

4. Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, and Hao Yang. 2022. Denoising self-attentive sequential recommendation. In RecSys.

5. Jiawei Chen Hande Dong Yang Qiu Xiangnan He Xin Xin Liang Chen Guli Lin and Keping Yang. 2021. AutoDebias: Learning to Debias for Recommendation. In SIGIR.

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