Mining personalization interest and navigation patterns on portal

Authors:
Jing Wu;Pin Zhang;Zhang Xiong;Hao Sheng
Affiliations:
School of Computer Science, Beihang University, Beijing, China;-;School of Computer Science, Beihang University, Beijing, China;-
Venue:
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Year:
2007

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Abstract

Personalization services pose new challenges to interest mining on Portal. Capturing the surfing behaviors of users implicitly and mining interest navigation patterns are the top demanding tasks. Based on the analysis of mapping the personalization interest behaviors on Portal, a novel Portal-independent mechanism of interest elicitation with privacy protection is proposed, which implements both the implicit extraction of diverse behaviors and their semantic analysis. Moreover, we present a hidden Markov model extension with personalization interest description of Portal to form interest navigation patterns for different users. Then experiments have been carried out in order to validate the proposed approaches.