The idea behind matrix factorization is to represent users and items in a lower dimensional [[latent space<!--]]. CouldSince benefitthe frominitial awork referenceby additionFunk asin this2006 terma mightmultitude beof unclearmatrix tofactorization newapproaches readershave -->been proposed for recommender systems. Some of the most used and simpler ones are listed in the following sections.
Since the initial work by Funk in 2006 a multitude of matrix factorization approaches have been proposed for recommender systems. Some of the most used and simpler ones are listed in the following sections.
