A Probabilistic Approach to Model Adaptive Hypermedia Systems

Web-based hypermedia systems allow user-driven access to information and services and content personalization. Application fields where adaptive hypermedia systems could be used are on-line learning, electronic commerce, on-line advertising etc. This paper presents a probabilistic approach for the modelling of Adaptive Hypermedia Systems (AHS). The Application Domain is modelled along three different adaptivity dimensions: technology (network and user’s terminal), user’s behaviour and external environment (location, language, sociopolitical issues, etc.). The user’s behaviour is modelled using a probabilistic approach and the most promising profile, that is a “view” over the application domain, is dynamically assigned to the user, using a discrete probability density function. A modular architecture supporting both the authoring phase and the run-time support of the Adaptive Hypermedia System is also presented. The authoring module allows the description of the Application Domain, the dynamic data access and data composition functions, extracting pre-existing multimedia basic data from different data sources. The basic data fragments are described through XML-based metadata.

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