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On Clustering Visitors of a Web Site by Behavior and Interests Export

Advances in Intelligent Web Mastering (2007), pp. 160-167.

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algorithm clustering

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This paper addresses the issue of how to define clusters of web visitors with respect to their behavior and supposed interests. We will use the non-obvious user profiles (NOPs) approach defined in [10], and present a new clustering algorithm which is a combination of hierarchical clustering together with a centroid based method with priority, which allows to cluster web users by similar interest in several topics.


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