Web navigation patterns mining based on clustering of paths and pages content

Authors:
Gang Feng;Guang-Sheng Ma;Jing Hu
Affiliations:
College of Computer Science & Technology, Harbin Engineering University, Harbin, China;College of Computer Science & Technology, Harbin Engineering University, Harbin, China;College of Computer Science & Technology, Harbin Engineering University, Harbin, China
Venue:
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Year:
2006

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Abstract

Combining the paths similarity and the pages content similarity, a novel clustering algorithm is presented. The actions character of users is revealed more exactly by clustering. The data scale is reduced by a long way during clustering. Based on the clusters, the user navigation patterns are generated by mining the Web log. The experiment result shows that the user navigation interest conversion patterns mined from Web log are typical and intuitionistic.