Recommender Algorithms: From Matrix Factorization to Neural Network

With the rapid development of the Internet, the amount of global data shows an explosive growth, and the phenomenon of information overload has become more and more serious. How to obtain the information that users really care about has become one of the problems that people need to overcome. In this background, many recommendation algorithms have been widely used in all walks of life. This paper combs the background and future development trend of several recommendation algorithms.