Automatic Feature Fairness in Recommendation via Adversaries

Hengchang Hu, Yiming Cao, Zhankui He +2

Fairness is a widely discussed topic in recommender systems, but its practical implementation faces challenges in defining sensitive features while maintaining recommendation accur…