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2004 IEEE International Conference on E-Commerce Technology (CEC'04)
A Computational Geometry Approach to Web Personalization
San Diego, California
July 06-July 09
ISBN: 0-7695-2098-7
Maria Rigou, Research Academic Computer Technology Institute and University of Patras
Spiros Sirmakessis, Research Academic Computer Technology Institute and Technological Educational Institution of Messolongi
Athanasios Tsakalidis, Research Academic Computer Technology Institute and University of Patras
In this paper we present an algorithm for efficient personalized clustering. The algorithm combines the orthogonal range search with the k-windows algorithm. It offers a real-time solution for the delivery of personalized services in online shopping environments, since it allows on-line consumers to model their preferences along multiple dimensions, search for product information, and then use the clustered list of products and services retrieved for making their purchase decisions.
Citation:
Maria Rigou, Spiros Sirmakessis, Athanasios Tsakalidis, "A Computational Geometry Approach to Web Personalization," cec, pp.377-380, 2004 IEEE International Conference on E-Commerce Technology (CEC'04), 2004
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