Clustering Users According to Common Interest Based on User Search Behavior
The paper presents a novel method to cluster users who share the common interest and discover their common interest domain by mining different users’ search behaviors in the user session, mainly the consecutive search behavior and the click sequence considering the click order and the syntactic similarity. The community is generated and this information will be used in the recommendation system in the future. Also the method is ‘content-ignorant’ to avoid the storage and manipulation of a large amount of data when clustering the web pages by content. The experiment proved it an available and effective way.
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
P. Y. Zhang et al., "Clustering Users According to Common Interest Based on User Search Behavior", Advanced Materials Research, Vols. 143-144, pp. 851-855, 2011