TF-IDF Similarity Based Method for Tag Clustering
Jie Gong · Jisuanji kexue yu tansuo · 2010
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 a mong 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.