Using Markov Chains for Structural Link Prediction in Adaptive Web Sites

Authors:
Jianhan Zhu
Affiliations:
-
Venue:
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Year:
2001

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Abstract

My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The structural knowledge is acquired in the form of three types of clusters: hierarchical clusters, reference clusters, and grid clusters. The predicted Web pages and acquired Web structures are further integrated to assist Web users in their navigation in the Web site.