Matrix factorization Perhaps the most common type of recommender system algorithm is matrix factorization. The idea behind matrix factorization is to break a user-item feature matrix into a ...

Matrix factorization in numerical linear algebra (NLA) typically serves the purpose of restating some given problem in such a way that it can be solved more readily; for example, one major application ...