A Computational Geometry Approach to Web Personalization

Authors:
Maria Rigou;Spiros Sirmakessis;Athanasios Tsakalidis
Affiliations:
Research Academic Computer Technology Institute and University of Patras;Research Academic Computer Technology Institute and Technological Educational Institution of Messolongi;Research Academic Computer Technology Institute and University of Patras
Venue:
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
Year:
2004

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Abstract

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.