关键词: 社会标签, 聚类, 用户聚合, K-means

Abstract: Aggregation services include resource aggregation, service aggregation and user aggregation, whereas only few researches focus on user aggregation. In some open platform systems of social tagging, user can tag resource with freely chose vocabulary in terms of their own need. The words in tags reflect user’s preference. This paper proposes a user clustering algorithm named TBKM from the perspective of social tags co-occurrence net. The paper is organized as follows. It defines some concepts with regard to TBKM. It elaborates on the novel algorithm TBKM. An experiment on real data from a book tag website named Delicious shows the difference in effectiveness between TBKM and original K-means.

Key words: social tag, cluster, user aggregation, K-means