A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" that a user would give to an item in use. There has been a lot of theorizing among the members of the artificial intelligence community concerning the way AI can help with the problem of successful information search in the reservoir of knowledge available on the Internet. Nowadays, deep learning’s advances have gained significant attention in the field of speech recognition, image processing, and natural language processing. Meanwhile, several recent studies have shown the utility of deep learning in the area of recommendation systems and information retrieval as well. Recommendation systems provide a solution to this problem by giving individualized recommendations. Content-based and Collaborative Filtering is usually applied to predict these recommendations. A combination of the results of these two techniques is used in this work in order to construct a system that provides more precise recommendations concerning movies. Also, deep learning methods are being increasingly used by popular media sites. The Movie Lens data set was used to test the recommendation system.