Avaliação comparativa de algoritmos de personalização para direcionamento de conteúdo
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
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Abstract: Adaptive Hypermedia Systems allow user-driven access to information and services and content personalization. This paper presents the design and development of a Probabilistic Adaptive Hypermedia System that uses a probabilistic approach for user modelling and presentation adaptation. The Application Domain is modelled along three different adaptivity dimensions: user's behaviour (browsing activity), technology (network and user's terminal constraints), and external environment (time, location, language, socio-political 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 implementing both the authoring phase and the run-time support of the Adaptive Hypermedia System is also presented.