Abstract
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.
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Buccafurri, F., Rosaci, D., Sarnè, G.M.L., Ursino, D. (2002). An Agent-Based Hierarchical Clustering Approach for E-commerce Environments. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds) E-Commerce and Web Technologies. EC-Web 2002. Lecture Notes in Computer Science, vol 2455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45705-4_12
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DOI: https://doi.org/10.1007/3-540-45705-4_12
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