On Creating Adaptive Web Servers Using Weblog Mining
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2000-11-20
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Abstract
Personalization of content returned from a web site is an important problem in general, and
affects e-commerce and e-services in particular. Targeting appropriate information or products
to the end user can significantly change (for the better) the users experience on a web site. One
possible approach to web personalization is to mine typical user profiles from the vast amount
of historical data stored in access logs. In the absence of any a priori knowledge, unsupervised
classification or clustering methods are ideally suited to analyze the semi-structured log data of
user accesses by examining user sessions. User access profiles are generated by clustering user
sessions on the basis of pair-wise dissimilarities using a robust fuzzy clustering algorithm.We
present a system that mines the logs to get profiles and uses them to automatically generate a
web page containing URLs the user might be interested in. We also evaluate the efficacy of
sessionizing the information with and without the use of cookies.