Popularity-aware Distributionally Robust Optimization for Recommendation System-Reference-Cited by-同舟云学术

Popularity-aware Distributionally Robust Optimization for Recommendation System

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

Zhao Jujia¹^ORCID,Wang Wenjie¹^ORCID,Lin Xinyu¹^ORCID,Qu Leigang¹^ORCID,Zhang Jizhi²^ORCID,Chua Tat-Seng¹^ORCID

Affiliation:

1. National University of Singapore, Singapore, Singapore

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

Funder

Huawei International Pte Ltd.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615492

Reference54 articles.

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2. Roc'io Ca namares and Pablo Castells. 2017. A probabilistic reformulation of memory-based collaborative filtering: Implications on popularity biases. In SIGIR. ACM 215--224. Roc'io Ca namares and Pablo Castells. 2017. A probabilistic reformulation of memory-based collaborative filtering: Implications on popularity biases. In SIGIR. ACM 215--224.

3. John Duchi and Hongseok Namkoong. 2018. Learning models with uniform performance via distributionally robust optimization. arXiv:1810.08750. John Duchi and Hongseok Namkoong. 2018. Learning models with uniform performance via distributionally robust optimization. arXiv:1810.08750.

4. A fusion collaborative filtering method for sparse data in recommender systems

5. Zuohui Fu , Yikun Xian , Shijie Geng , Gerard De Melo, and Yongfeng Zhang . 2021 . Popcorn : Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. In CIKM. ACM , 494--503. Zuohui Fu, Yikun Xian, Shijie Geng, Gerard De Melo, and Yongfeng Zhang. 2021. Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. In CIKM. ACM, 494--503.