Wenqi Fan

Toward Trustworthy Recommender Systems in the Era of Agentic AI: From Relational User Modeling to Generative Personalization

Recommender systems are evolving from models that predict user–item matching scores into intelligent systems that learn from relational structure, retrieve evidence, reason over user intent, and support personalized actions. This talk discusses a research agenda for trustworthy recommender systems in the era of agentic...