Recommender Systems combine a variety of methods to determine the preferences and interests of users and to generate suggestions based on these. Recommender Systems derive recommendations by analyzing data, such as users’ past behavior, similar users’ interests, objects’ metadata, and contextual aspects. Recommender Systems link this information to objects—for instance, movies, books, news articles—which could be of interest to the user.