Junsong Xie

Learning Fair Representations for Recommendation via Information Bottleneck Principle

User-oriented recommender systems (RS) characterize users' preferences based on observed behaviors and are widely deployed in personalized services. However, RS may unintentionally capture biases related to sensitive attributes (e.g., gender) from behavioral data, leading to unfair issues and discri…