Evolutionary based matrix factorization method for collaborative filtering systems

The Matrix-Factorization (MF) based models have become popular when building Collaborative Filtering (CF) recommender systems, due to the high accuracy and scalability. Most of nowadays matrix factorization models don´t have acceptable execution time during to large datasets. In this article, we introduce a new collaborative filtering recommender system, based on matrix factorization by using genetic algorithm.