Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias-Reference-Cited by-同舟云学术

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias

Published:2024-08-24 Issue: Volume:38 Page:187-198
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Cai Miaomiao¹^ORCID,Chen Lei²^ORCID,Wang Yifan³^ORCID,Bai Haoyue¹^ORCID,Sun Peijie³^ORCID,Wu Le¹^ORCID,Zhang Min⁴^ORCID,Wang Meng¹^ORCID

Affiliation:

1. Hefei University of Technology, Hefei, China

2. Tsinghua University, Beijing, China

3. DCST, Tsinghua University, Beijing, China

4. DCST, Tsinghua University & Quan Cheng Laboratory, Beijing, China

Funder

National Natural Science Foundation of China

Quan Cheng Laboratory

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671824

Reference58 articles.

1. Stephen Bonner and Flavian Vasile. 2018. Causal embeddings for recommendation. RecSys (2018), 104--112.

2. Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, and Meng Wang. 2024. Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. TIST (2024).

3. Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, and Shaoping Ma. 2019. An efficient adaptive transfer neural network for social-aware recommendation. SIGIR (2019), 225--234.

4. Efficient neural matrix factorization without sampling for recommendation;Chen Chong;TOIS,2020

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. SIGIR (2021), 21--30.