In this paper we propose an agent-based hierarchical clustering technique operating on both user profiles and e-commerce sites. We show, by designing a number of appealing applications, how exploitation of such hierarchies can really benefit both customers and vendors in their activity. As a support for the customer, we provide a categorization of sites of interest as she/he perceives them, and also dynamic ecommerce portal personalization. As a support for the vendor, we design a categorization of customers directly supporting knowledge discovery on customer behavior. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
Buccafurri, F., Rosaci, D., Sarnè, G. M. L., & Ursino, D. (2002). An agent-based hierarchical clustering approach for e-commerce environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2455 LNCS, pp. 109–118). Springer Verlag. https://doi.org/10.1007/3-540-45705-4_12
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