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User profiling and personalisation:

Our background in the context of DIGINEWS. User profiling and personalisation: PSI3 Personalised services for Integrated Internet Information ( IST-99-11056) DEMOS Online public debate System with Delphi Mediation techniques ( IST-99-20530 )

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User profiling and personalisation:

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  1. Our background in the context of DIGINEWS • User profiling and personalisation: • PSI3 Personalised services for Integrated Internet Information (IST-99-11056) • DEMOSOnline public debate System with Delphi Mediation techniques (IST-99-20530) • METIS Building a sharable Multimedia Knowledge Repository by today´s youthin the School of Tomorrow (IST-2001-32775) • INFOCITIZEN Agent based negotiation for inter- and intra-enterprise coordination employing an European Information Architecture for Public Administration(IST-2000-28759) • EU-PUBLI Facilitating Co-operation amongst European Public Administration employees through a Unitary European Network Architecture and the use of Interoperable Middleware Components(IST-2001-35217) • CONTESSA Content Transformation Engine Supporting Universal Access: adapt content to any requesting device (PC, smart phones, mobile phones, PDAs, DTV set-top-boxes,etc.) (IST-2000-28567) • IBER-AGENT:Intelligent Agent Platform (distributed architecture, core services of configuration, monitoring, persistence, communication….etc and advance services for user profiling and personalization) • e/m-learning: • Train.me Personalised learning on demand and on the job (IST-99-21036) • M-Pills Learning platform for content generation in the form of m-learning pills (INTEK-2002)

  2. Objectives and contribution to the project • Role: Technology provider • Technology areas: • Content Management • User profiling and personalization • m-learning Wp´s contribution: • Analyse users and system requirements related to user interface, content management and personalization • Make the architecture based of intelligent agent for the provision of the user profiling and personalization of information services. Extend this architecture to support m-learning services. • Implementation of the designed services. Integration and validation in the global solution demonstrator.

  3. Identified co-operation We guess a more strong co-operation with rest of technology provider partners... To be settle at this meeting!

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