Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems

Yueqing Xuan, Kacper Sokol, Mark Sanderson +1

Recommender systems trained on implicit feedback data rely on negative sampling to distinguish positive items from negative items for each user. Since the majority of positive inte…