A Web Users Clustering Model Based on Users´ Browsing Path

Based on user´s browsing path, a novel clustering model is proposed to cluster Web users. It represents users´ characteristics by their transaction paths and presents a new similarity computational method-WUSC (Web user similarity calculation). Considering the relationship between the common path and the whole path of the user, combining with the residence time of user´s paths to calculate the similarity between users, the user´s transaction paths are represented as sequential patterns,. The experiment results prove the efficiency of the proposed method.