Mitigating Popularity Bias in Recommendation with Global Listwise Learning and Progressive Bi-Weighting

Tianyu Zhu, Jiandong Ding, Yansong Shi +2

In recommender systems, user feedback typically follows a long-tail distribution, which leads many recommendation algorithms to exacerbate popularity bias by disproportionately fav…