Abstract: Social tags can provide highly abstract information about not only item contents but also personalized prefe- rences,hence using labels could improve the accuracy of personalized recommendation. As a result of user preferences changes over time, network resources also will be increased as time goes by. How to recommend the network resources in which users have immediate interest based on the user preferences changes becomes a new research problems in the recommendation system Combined with using tag frectuency and label time on user-object tag tripartite graphs,we pro- posed a recommendation algorithm based on tag timcweighted network. Experimental results dcxnonstrate that the usage of tag timcweighted can significantly improve accuracy and diversification of recommendations.

Key words: Personalized recommendation, Social tagging networks, Time-weighted, Tripartite graphs