Movie Recommendation System by Feed Forward Deep Neural Network

Movie recommendation is powerful in providing improved entertainment. It can suggest a set of movies to users on basis of their interests. In this paper we propose a movie compilation program that has the power to recommend movies to the user on the basis of his interests, preferences and past behaviour. This paper makes use of deep learning techniques for data analysis. Many companies are recognizing the incredible power of neural networks that can come from exposing this wealth of information and are becoming increasingly accustomed to AI systems for automated support. In this paper, the proposed approach is based on neural networks and experimental results are produced based on the dataset MovieLens.