BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System

no code implementations • 25 May 2024 • Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong

However, our empirical study reveals that existing methods for balancing fairness and accuracy often fail to ensure both long-term fairness and short-term accuracy under fluctuating user traffic in real applications.

A Taxation Perspective for Fair Re-ranking

1 code implementation • 27 Apr 2024 • Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

From a taxation perspective, we theoretically demonstrate that most previous fair re-ranking methods can be reformulated as an item-level tax policy.

Ethics Fairness +1

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops

1 code implementation • 11 Aug 2023 • Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen

RFL means that recommender system can only receive feedback on exposed items from users and update recommender models incrementally based on this feedback.

Fairness Recommendation Systems