PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
arXiv:2507.19067v2 Announce Type: replace-cross
Abstract: Recommender systems based on graph neural networks (GNNs) have been proved to perform well on user-item interactions. However, they commonly suffer from popularity bias — the tendency to over-…