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Descripción
This paper describes a recommender system for sport videos, transmittedover the Internet and/or broadcast, in the context of large-scale events,which has been tested for the Olympic Games. The recommender is based on audiovisualconsumption and does not depend on the number of users, running only on theclient side. This avoids the concurrence, computation and privacy problemsof central server approaches in scenarios with a large number of users, suchas the Olympic Games.The system has been designed to take advantage of the information availablein the videos, which is used along with the implicit information of the userand the modeling of his/her audiovisual content consumption. The system isthus transparent to the user, who does not need to take any specific action.Another important characteristic is that the system can produce recommendationsfor both live and recorded events.Testing has showed advantages compared to previous systems, as willbe shown in the results.
Internacional	Si
JCR del ISI	Si
Título de la revista	Ieee Transactions on Multimedia
ISSN	1520-9210
Factor de impacto JCR	1,935
Información de impacto	Datos JCR del año 2011
Volumen	14
DOI	10.1109/TMM.2012.2217121
Número de revista	6
Desde la página	1
Hasta la página	12
Mes	DICIEMBRE
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• Autor: Faustino Ángel Sánchez García (UPM)
• Autor: Federico Alvarez Garcia (UPM)
• Autor: María Alduán
• Autor: Orlando Báez
• Autor: Jose Manuel Menendez Garcia (UPM)

• Creador: Grupo de Investigación: Grupo de Aplicación de Telecomunicaciones Visuales (G@TV)
• Departamento: Señales, Sistemas y Radiocomunicaciones