Recommender systems aim to make a prediction that quantifies how much interest a user has in an object. Typical recommenders suggest products from a web store or various types of media content (films, music, artists, brands, etc.). A well-trained recommender model suggests exactly those objects from the set of all available objects that the user will most likely find relevant. Recommenders are used in various industries, including e-commerce, entertainment, and social media.
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