关键词: 标签聚类, 相似度, 社会标签系统, TF-IDF技术

Abstract: As a new concept of Web 2.0， social tagging system aims at expressing users’ interests clearly and specifically. Tag clustering is an important research topic in social tagging system mining. Evaluation similarity among social tags is the key technique in tag clustering. The main contributions include： （1） introduce a new method to calculate the tag similarity based on TF-IDF， and propose a clustering algorithm based on the new method； （2） analyze the conditions that influence tag similarity； （3） conduct extensive experiments to demonstrate that proposed method is more efficient compared with some methods proposed before.

Key words: tag clustering, similarity, social tagging system, TF-IDF