Research and implementation of movie recommendation system based on deep learning

In recent years, with the rapid development of information technology and the Internet, watching movies through the Internet has become a habit for many people. However, the overload of movie information has become more and more serious because people cannot get their favorite movie content quickly from the huge amount of movie resources. As one of the important means to alleviate the information overload problem, the recommendation system can help users find their favorite movie content quickly and bring them a good experience, so it is widely used in famous movie and video websites at home and abroad, and has brought great commercial value. In this paper, we introduce the recommendation system and recommendation algorithm, improve the ConvMF model based on deep learning, verify and analyze the experimental results, and finally complete the design of movie recommendation subsystem.