A personalized television listings service
Communications of the ACM
Tailoring the Interaction with Users in Web Stores
User Modeling and User-Adapted Interaction
A recommender handoff framework for a mobile device
Mobile Multimedia Processing
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This paper describes how a user modeling knowledge base for personalized TV servers can be generated starting from an analysis of lifestyles surveys. The aim of the research is the construction of well-designed stereotypes for generating adaptive electronic program guides (EPGs) which filter the information about TV events depending on the user's interests.