Utilizing latent Features for Building Recommender system Based on RBM Neural Network
Ismael Abdul Sattar, Rafah Shihab Alhamdani, Mohhammed Najm Abdulah · 2021
Deep learning one of the hottest technologies that applied in various field for enhancing the available results which solving specific problems. The huge growth of the data over internet make recommender systems in need as effective techniques to overcome information overloaded, while employing deep learning methods lead to flourishing recommender system in several digital media. All in all, recommender system play best role based on user preferences. In this paper implement and analysis of building recommender system based on deep learning techniques for prediction movie rating as smart way to predict user preferences. Such technique would be useful in advertising management and social networking as well.