CDR: Conservative Doubly Robust Learning for Debiased Recommendation-Reference-Cited by-同舟云学术

CDR: Conservative Doubly Robust Learning for Debiased Recommendation

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
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Author:

Song Zijie¹^ORCID,Chen Jiawei¹^ORCID,Zhou Sheng¹^ORCID,Shi Qihao²^ORCID,Feng Yan¹^ORCID,Chen Chun¹^ORCID,Wang Can¹^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Hangzhou City University, Hangzhou, China

Funder

National Natural Science Foundation of China

Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614805

Reference55 articles.

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2. Yuanchen Bei , Hao Xu , Sheng Zhou , Huixuan Chi , Mengdi Zhang , Zhao Li , and Jiajun Bu . 2023 . CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. arXiv preprint arXiv:2307.02813 (2023). Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Mengdi Zhang, Zhao Li, and Jiajun Bu. 2023. CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. arXiv preprint arXiv:2307.02813 (2023).

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4. Charles Blundell , Julien Cornebise , Koray Kavukcuoglu , and Daan Wierstra . 2015 . Weight uncertainty in neural network . In International conference on machine learning. PMLR, 1613--1622 . Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra. 2015. Weight uncertainty in neural network. In International conference on machine learning. PMLR, 1613--1622.

5. AutoDebias: Learning to Debias for Recommendation