e ‐Commerce Recommender Systems

Abstract Recommender systems are a vital part of the way today's information society deals with information overload. Recommender systems help e‐commerce retailers to choose items to display based on customers' preferences, help users personalize search, and help streaming services create customized playlists. This entry describes multiple kinds of recommender systems and how they work. It also explains their historical and intellectual context, shows how they might affect users, and discusses current challenges.