Recommender Systems: Models and Techniques
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TL;DR
The system’s prediction of the user’s evaluation for an item and the conditions under which an item is evaluated by a user are described.
Abstract
RSs are information search and filtering tools that provide suggestions for items to be of use to a user. They have become common in a large number of Internet applications, helping users to make better choices while searching for news, music, vacations, or financial investments. RSs exploit data mining and information retrieval techniques to predict to what extent an item suits the user needs and wants and recommend those items with the largest predicted fit score.
