July 2017
Beginner to intermediate
442 pages
10h 8m
English
Content preview from Statistics for Machine Learning
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Collaborative filtering
Collaborative filtering is a form of wisdom-of-the-crowd approach, where the set of preferences of many users with respect to items is used to generate estimated preferences of users for items with which they have not yet rated/reviewed. It works on the notion of similarity. Collaborative filtering is a methodology in which similar users and their ratings are determined not by similar age and so on, but by similar preferences exhibited by users, such as similar movies watched, rated, and so on.
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