A Model for User Profiling in an ASP Environment

Abstract

Nowadays an ever increasing number of companies rely on application service providers for hosting some or almost all software applications. In this domain, an effective way for customizing user interfaces would be highly desirable. We propose a profiling system interacting with the applications in order to capture users' behavior. The system is based on Bayesian networks and we show a strategy for combining data collected in each session and previous knowledge. Experiments on a prototype show that the proposed approach is promising