4 papers
Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
Jingzhi Li, Zhiyong Cheng, Richang Hong +1
Provider exposure fairness is crucial for sustaining a healthy content ecosystem and preventing monopolization in recommender systems. Yet, most existing methods either incorporate…
Modeling Stage-wise Evolution of User Interests for News Recommendation
Zhiyong Cheng, Yike Jin, Zhijie Zhang +3
Personalized news recommendation is highly time-sensitive, as user interests are often driven by emerging events, trending topics, and shifting real-world contexts. These dynamics…
From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modeling
Yuxin Liao, Le Wu, Min Hou +3
User behavior modeling lies at the heart of personalized applications like recommender systems. With LLM-based agents, user preference representation has evolved from latent embedd…
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
Miaomiao Cai, Lei Chen, Yifan Wang +3
Popularity bias is a common challenge in recommender systems. It often causes unbalanced item recommendation performance and intensifies the Matthew effect. Due to limited user-ite…