Design and Implementation of Book Recommender System Based on Collaborative Filtering

• 1、Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876

Abstract：With the development of information technology, the problem of information overload occurred on account of the explosive growth of network resources. The personalized recommendation technology is an effective way to solve the problem, while the collaborative filtering is the most widely used technology in recommender systems. In order to help people choose interested books better, this paper studied the application of item-based collaborative filtering algorithm on book recommendation, and then, designed and implemented a book recommender system based on B/S architecture. First of all, this paper researched the fundamental principle of collaborative filtering, then introduced the design of recommendation engine for the system. Eventually, based on the analysis of requirement, this paper designed the system architecture, function module and database. The actual operation results show that the system can provide personalized recommendations based on the search results and historical score records derived from users, andgive certain explanations for recommendations.

Keywords： Computer Application Recommender System Collaborative filtering Book Recommendation RecommendationEngine