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MATLAB Tools for Recommender Systems
A recommender system is a model that’s designed to anticipate the preferences of a specific user. When applied to the domain of movies, it transforms into a movie recommendation engine. The process involves filtering items in a database by predicting the user’s potential ratings and facilitating the connection of users with the most suitable content in the dataset. This holds significance because, in extensive catalogs, users might not discover all pertinent content. Effective recommendations enhance content consumption and major platforms such as Netflix heavily depend on them to maintain user engagement. In this chapter, we will learn the basic concepts of recommender systems and how to build a network ...
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