Authors:
Paulo Muniz de Ávila
1
and
Sergio Donizetti Zorzo
2
Affiliations:
1
Pontifical Catholic University of Minas Gerais, Brazil
;
2
Federal University of São Carlos, Brazil
Keyword(s):
Personalization, Multimedia, Profiling, Recommendation System, Digital TV, Middleware Ginga.
Related
Ontology
Subjects/Areas/Topics:
Human-Machine Interface
;
Interactive Multimedia: Games and Digital Television
;
Multimedia
;
Multimedia and Communications
;
Multimedia Systems and Applications
;
Telecommunications
Abstract:
With the advent of digital television and the possibility of transmission of new services (in the analogue system, channels) a lot of information will be released in comparison to traditional analog system. The electronic programming guide (EPG) responsible for organizing such information has become inefficient because of the large volume of data provided by service providers. So that viewers can dealing with this information overload, are necessary tools to identify their needs and preferences. Personalized recommendation systems emerge as a solution to that problem, providing the viewer programs relevant to your profile. 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, broadcast
ers) and its importance to the system RecommenderTV are discussed in this work. Finally, we are reported the results obtained from the experiments with the system of recommendation implemented.
(More)