September 2017
Beginner to intermediate
560 pages
25h 18m
English
Almost every recommender system works on the concept of similarity between items or users. In this recipe, we will explore some common similarity measurement techniques such as Euclidean distance, Cosine distance, and Pearson correlation, which are widely used in recommender systems.
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