Jingchen Feng

Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems

2024

Recommender systems are essential for finding personalized content for users on online platforms. These systems are often trained on historical user interaction data, which collects user feedback on system recommendations. This creates a feedback loop …