A genetic algorithms-based hybrid recommender system of matrix factorization and neighborhood-based techniques

Using three different datasets: MovieLens, FilmTrust, and CiaoDVD, we experimentally show that our model improved Navgaran' et al. RS in term of MAE, precision, and recall. We show that our model is at least 15.2 times faster and has at least 87% less MAE value than Navgaran' et al. RS. In addition, it has better recall and precision values in MovieLens and CiaoDVD datasets.