AVATAR: A Multi-Agent TV Recommender System using MHP Applications
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
HoNeY: a MHP-based Platform for HOme NEtwork interoperability
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
TV Program Recommendation for Multiple Viewers Based on user Profile Merging
User Modeling and User-Adapted Interaction
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Knowledge and Information Systems
Unobtrusive Dynamic Modelling of TV Program Preferences in a Household
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
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
Proceddings of the 9th international interactive conference on Interactive television
The knowledge as a service metaphor and its use for building convergence environments
Proceedings of the 18th Brazilian symposium on Multimedia and the web
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In this paper we present a personalized recommendation system, the RecommenderTV consistent with the reference implementation of the middleware Ginga. The implementation of the system RecommenderTV demanded the inclusion of new features to the middleware Ginga-NCL none exists in the implementation of reference. The service providers (in the analog system, broadcasters) and its importance to the system RecommenderTV are discussed in this work. The results obtained with three different mining algorithms running in a set-top box using real data provide by IBOPE Midia are presented. Finally, we are reported the results obtained from the experiments with the system of recommendation implemented.