Website link structure evaluation and improvement based on user visiting patterns

Authors:
Baoyao Zhou;Jinlin Chen;Jin Shi;Hongjiang Zhang;Qiufeng Wu
Affiliations:
Dept. of Automation, Tsinghua University, China;Microsoft Research China;Microsoft Research China;Microsoft Research China;Dept. of Automation, Tsinghua University, China
Venue:
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Year:
2001

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Abstract

Link structure evaluation and improvement is a significant hard problem for Hypertext system. In this paper a novel approach for evaluating and improving website link structure based on User Visiting Patterns instead of complex semantic analysis is proposed. By optimizing and re-evaluating the link structure to increase the Average Connectivity, our approach can effectively improve website link structure. Experiments have shown satisfactory results.