We present a novel personalization engine that provides in- dividualized access to Web contents/services by means of data mining techniques. It associates adaptive content delivery and navigation sup- port with form filling, a functionality that catches the typical interaction of a user with a Web service, in order to automatically fill in its form fields at successive accesses from that visitor. Our proposal was devel- oped within the framework of the ITB@NK system to the purpose of effectively improving users' Web experience in the context of Internet Banking. This study focuses on its software architecture and formally investigates the underlying personalization process.

Putting Enhanced Hypermedia Personalization into Practice via Web Mining

Eugenio Cesario;Francesco Folino;Riccardo Ortale
2004

Abstract

We present a novel personalization engine that provides in- dividualized access to Web contents/services by means of data mining techniques. It associates adaptive content delivery and navigation sup- port with form filling, a functionality that catches the typical interaction of a user with a Web service, in order to automatically fill in its form fields at successive accesses from that visitor. Our proposal was devel- oped within the framework of the ITB@NK system to the purpose of effectively improving users' Web experience in the context of Internet Banking. This study focuses on its software architecture and formally investigates the underlying personalization process.
2004
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/143056
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