Abstract: With the rapid development of the World Wide Web,a large amount of trading information is available on the Internet.This abundance of information has created the need to help users find resources that match their individual goals and interests.This problem has been in the focus of recent research and an approach of recommendation system has been proposed.In the traditional system,users are provided with assistance in making selections according to the similarity of users' behavior and the products' information.Actually,users' interests vary gradually over time and their recent activities reveal their current interests.In this paper,a bipartite graph recommendation method is proposed based on time property,in which the time variation is taken into account and a new approach of initial resource adjustment is adopted to endow the recommended result with timeliness.Experiments show notable improvement on the Top-N hits metric.This method is not only of real value for improving the performance of recommendation system,but also has an active effect on the applications of recommendation system in E-Commerce.

Key words: recommender system, time property, bipartite graph, resource allocation