A web usage mining algorithm for web personalization

Article type: Research Article

Authors: Picariello, Antonio^{; *} | Sansone, Carlo

Affiliations: Università di Napoli "Federico II", via Claudio 21, 80125 Napoli, Italy

Correspondence: [*] Corresponding author: Tel.: +39 981 768 3826; Fax: +39 081 768 3816; E-mail: [email protected]

Abstract: The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both the commercial and academic communities. This paper presents a classification algorithm for web personalization based on web usage mining techniques. The algorithm takes into account both static information, by means of classical clustering techniques, and dynamic user behavior, thus proposing a novel and effective re-classification algorithm. Experiments have been carried out in order to validate our approach and evaluate the proposed algorithm.

DOI: 10.3233/IDT-2008-2403

Journal: Intelligent Decision Technologies, vol. 2, no. 4, pp. 219-230, 2008