Boya Xu

Boya Xu, an Assistant Professor of Marketing at Virginia Tech, explores the intricacies of recommender systems. She delves into hybrid approaches that combine collaborative filtering and bandit learning to tackle challenges like the cold start problem for new users. Boya emphasizes using demographic information for bootstrapping recommendations and ensuring fairness for minority users. She also discusses how recommender systems affect consumer behavior and content creation across digital platforms, shedding light on the impact of algorithms in shaping user experiences.