Extracting Topic Maps from Web Histories by Clustering with Web Structure and Contents

Authors:
Motohiro Mase;Seiji Yamada
Affiliations:
Tokyo Institute of Technology, Japan;National Institute of Informatics, Japan
Venue:
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Year:
2006

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Abstract

In this paper, we propose a clustering method to extract Topic Maps from the Web browsing history. We improve the structure-based hierarchical clustering method using the contents similarity of the pages and the weight by the types of links and the hierarchical difference of the directories in which the pages are located. The topic maps show the topics that user has seen or not in Web browsing and the relationships between the topics. Using the Web browsing history, we experimentally extract the topic map and evaluate it.