Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective

Weijieying Ren, Lei Wang, Kunpeng Liu +3

Recommender systems learn from historical user-item interactions to identify preferred items for target users. These observed interactions are usually unbalanced following a long-t…