Nowadays, recommender systems are vital in lessening the information overload by filtering out unnecessary information, thus increasing comfort and quality of life. Matrix factorization (MF) is a well-known system algorithm that offers good results but requires certain level knowledge some effort on part user before use. In this article, we proposed an improvement using grammatical evolution (G...