What is it about?
Recommender systems are used to generate meaningful recommendations to users based on their preferences, which will be determined following several approaches. The collaborative filtering techniques presented in this paper compute the similarity matrix between items and users’ ratings, and then evaluate the recommendations for users. The techniques cover User-Based and Item-Based Collaborative Filtering, as well as Matrix Factorization through an SVD algorithm.
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This page is a summary of: A Book Recommender System Using Collaborative Filtering Method, April 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3460620.3460744.
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