An intelligent user groups Identification based on hierarchical clustering

User groups identification is an important task in intelligent personalized information service. In this paper we proposed an intelligent information service model based on hierarchical clustering algorithms. There are two main works in this article: firstly, a vector models which can represent users' interests, preferences and emotional information is introduced. Secondly, a user groups clustering algorithm based on TF/IDF is proposed. The proposed algorithm provides a good practicability and a promising future for pattern identification