Yuliang Shi

DualPop: User Popularity Preference Aware Debiasing Recommendation

Recommender systems usually suffer from popularity biases, where a few popular items are over-recommended, while most long-tail items struggle to gain exposure. Prior research focused on eliminating the influence of popularity to suppress popular items and enhance the recommendat...