Research on Recommendation Algorithms Based on Collaborative Filtering

Abstract

Abstract With the rapid development of Internet industry in the era of Web 2.0, creation and sharing of content becomes easier and easier, and people’s accessing methods to information have changed. For information consumers, the exponential growth of information makes users use information inefficiently. Users are eager to get more valuable information for themselves. For information producers, they also need a way to make their information be concerned by more potential users. Collaborative filtering algorithm is the most widely used and successful recommendation algorithm. A good recommendation algorithm can help users to find their favorite videos in massive videos, and even relatively unpopular videos can be pushed to users who may be interested in it.