Recommender systems are software tools and techniques providing suggestions for items to be of use to a user. The suggestions provided by a recommender system are aimed at supporting their users in various decision-making processes, such as what items to buy, what music to listen, or what news to read. Recommender systems are valuable means for online users to cope with information overload and help them make better choices. They are now one of the most popular applications of artificial intelligence, supporting information discovery on the Web. Several techniques for recommendation generation have been proposed, and during the last two decades, many of them have also been successfully deployed in commercial environments. Nowadays, all the major Internet players adopt recommendation techniques.
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