Abstract
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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Hoebel, N., Zicari, R.V. (2007). On Clustering Visitors of a Web Site by Behavior and Interests. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_26
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DOI: https://doi.org/10.1007/978-3-540-72575-6_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72574-9
Online ISBN: 978-3-540-72575-6
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