I. Introduction
At present, with the rapid development of Internet applications such as e-commerce, portal websites and video websites, platforms are faced with the screening and analysis of massive data and information. The needs of a large number of Internet users are also very different. What is more, personalized recommendation needs to be carried out by classification. Thus, collaborative filtering recommendation algorithm is widely used in e-commerce and social networks by providing personalized content recommendation to people.