Measuring similarity of interests for clustering Web-users

There has been an increased demand for understanding of Web-users due to the Web development and the increased number of Web-based applications. Informative knowledge extracted from Web user access patterns has been used for many applications, such as the prefetching of pages between clients and pro...

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Bibliographic Details
Published inProceedings 12th Australasian Database Conference. ADC 2001 pp. 107 - 114
Main Authors Jitian Xiao, Yanchun Zhang, Xiaohua Jia, Tianzhu Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Application software
Australia
Cities and towns
Clustering algorithms
Clustering methods
Computer science
Navigation
Prefetching
Web page design
Web pages
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Summary:There has been an increased demand for understanding of Web-users due to the Web development and the increased number of Web-based applications. Informative knowledge extracted from Web user access patterns has been used for many applications, such as the prefetching of pages between clients and proxies. This paper presents an approach for measuring similarity of interests among Web users, based on the interest items collected from Web user's access logs. A matrix-based algorithm is then developed to cluster Web users such that the users in the same cluster are closely related with respect to the similarity measure. As an application example, a Web document prefetching technique is proposed that utilises the similarity measure and clusters obtained. Experiments have been conducted and the results have shown that our clustering method is capable of clustering Web users with similar interests, and the prefetching method is practical.
ISBN:9780769509662
0769509665
ISSN:1530-0919
2332-5739
DOI:10.1109/ADC.2001.904471