推荐系统中的用户理解：偏好、意图、行为与满意度

Learn about the key aspects of user understanding in recommender systems, exploring how to analyze and leverage user preferences, intentions, behaviors, and satisfaction levels in a lecture from Tsinghua University that delves into the fundamental components driving personalized recommendations and user experience optimization.