The Design and Implementation of Books Recommendation System

Personalized recommendation technology is a new technology which can mine products by using user's information, and that meet user's preferences through a series of algorithms, so as to achieve better recommendation effect. The number of books in university library is increasing rapidly. How to find interesting books from a large number of books is a problem that every reader is concerned about. In order to help these users find the books that they are interested in, this author designs a books recommendation system based on collaborative filtering algorithm. The system can basically meet the needs of users to recommend functions, and achieved good results.