Xiangfu He

HPDM: A Hierarchical Popularity-aware Debiased Modeling Approach for Personalized News Recommender

News recommender systems face inherent challenges from popularity bias, where user interactions concentrate heavily on a small subset of popular news. While existing debiasing methods have made progress in recommendation, they often overlook two critical aspects: the different granularity of news po