Abstract
We present a novel personalization engine that provides individualized access to Web contents/services by means of data mining techniques. It associates adaptive content delivery and navigation support 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 developed 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.
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Cesario, E., Folino, F., Ortale, R. (2004). Putting Enhanced Hypermedia Personalization into Practice via Web Mining. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2004. Lecture Notes in Computer Science, vol 3180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30075-5_91
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DOI: https://doi.org/10.1007/978-3-540-30075-5_91
Publisher Name: Springer, Berlin, Heidelberg
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