UMBC ebiquity
On Creating Adaptive Web Servers Using Weblog Mining
November 20, 2000
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.
TechReport
University of Maryland, Baltimore County
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