Design of Tag Ranking Algorithm Based on Cluster

Abstract

Abstract. Most information in Web2.0 is made by the users and classified by the tags which are putted by the users. However, as we known, tag related service and research are focused on the works such as automatic tagging and tag cloud composition, but the researches which classify the media resources and information according to tags and provide the results to the users, are not still up to the mark.In this paper to overcome the problems of existing system, a TBTC algorithm was proposed to find highly related tags. And a threshold which is used in this algorithm for clustering was studied, and optimal threshold with high cluster cohesion was determined in this research.