Author :
Cannataro, Mario ; Cuzzocrea, Alfredo ; Pugliese, Andrea
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: the 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, i.e. 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
Keywords :
adaptive systems; authoring systems; hypermedia; probability; software architecture; user modelling; adaptivity; application domain modelling; application domain view assignment; authoring phase; browsing activity; content personalization; discrete probability density function; external environment; modular architecture; network constraints; presentation adaptation; probabilistic adaptive hypermedia system; run-time support; sociopolitical issues; technology; user behaviour; user modelling; user terminal constraints; user-driven access; Adaptation model; Adaptive systems; Automated highways; Education; Electronic commerce; Graphical user interfaces; Joining processes; Navigation; Probability density function; Runtime;
