A TV-anytime metadata approach to TV program recommendation for groups

The advent of digital TV and personal digital recorders promise to change the way people watch TV. The higher efficiency of digital coding will lead to increasing the number of contents offered to the user, demanding automatic tools for content recommendation. In the other hand, digital recorders wi...

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Bibliographic Details
Main Authors: Tubio, Ricardo, Sotelo, Rafael, Blanco, Yolanda, Lopez, Martin, Gil, Alberto, Pazos, Jose, Ramos, Manuel
Format: Conference Proceeding
Language:English
Subjects:
Digital audio broadcasting
Digital TV
Digital video broadcasting
Engines
High definition video
History
Job shop scheduling
multiple audience
Ontologies
recommender systems
TV broadcasting
TV-Anytime
Watches
Online Access:Request full text
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Summary:The advent of digital TV and personal digital recorders promise to change the way people watch TV. The higher efficiency of digital coding will lead to increasing the number of contents offered to the user, demanding automatic tools for content recommendation. In the other hand, digital recorders will permit a non-linear consumption model, enabling the creation of (automatic) personalized schedules that combine the appealing contents for a concrete user. This paper presents a semantic approach to content recommendation for groups of people, starting from TV-anytime descriptions of the contents to be broadcast.
ISSN:0747-668X
DOI:10.1109/ISCE.2008.4559529