How do you incorporate user feedback and preferences into a recommender system?
Recommender systems are a type of expert system that help users find relevant items or services based on their preferences, behavior, or context. They are widely used in e-commerce, entertainment, education, and other domains to provide personalized and tailored suggestions. But how do you incorporate user feedback and preferences into a recommender system? In this article, we will explore some of the methods and challenges of designing and evaluating recommender systems that can adapt to user feedback and preferences.