PTV: Intelligent Personalised TV Guides
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Development and Prospect of Personalized TV Program Recommendation Systems
MSE '02 Proceedings of the Fourth IEEE International Symposium on Multimedia Software Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
AIMED: a personalized TV recommendation system
EuroITV'07 Proceedings of the 5th European conference on Interactive TV: a shared experience
A personalized TV guide system compliant with MHP
IEEE Transactions on Consumer Electronics
Understanding casual-leisure information needs: a diary study in the context of television viewing
Proceedings of the third symposium on Information interaction in context
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An essential change has been occurring in TV nowadays in Brazil: the migration from the analogical system to the system digital TV. A major impact of this change is the increasing capacity transmission of new channels. The Electronic Programming Guide helps viewers to navigate between channels, but the measure that new channels are available it is inevitable that information overload occurs making systems EPG inadequate. This situation arises the need of personalized recommendation systems. In this paper we present a recommendation system compliant with the middleware Ginga. Are presented the results obtained with three different mining algorithms running in a set-top Box using real data provide by IBOPE Midia. The IBOPE Midia is the company of the IBOPE group responsible for the communication, media, consumption and audience research.