Research and Analysis of Recommendation Technology

Abstract

With the continuous development of the network, a variety of resources can be spread through the Internet, a large number of data will cause information overload in the network, how to efficiently obtain the information they need has gradually become a subject that can be studied independently. The recommendation system can filter out effective information according to the needs of users. this paper describes the current research situation of recommendation system. The traditional recommendation methods, recommendation based on deep learning and recommendation based on reinforcement learning are analyzed in detail. Finally, the problems and challenges faced by the recommendation system are discussed.