Title :
Prediction of TV-station ratings based on content recommenders
Author :
Sotelo, Rafael ; Blanco-Fernández, Yolanda ; Gil-Solla, Alberto ; Ramos-Cabrer, Manuel ; Lopez-Nores, Martin
Author_Institution :
Univ. de Montevideo, Montevideo, Uruguay
Abstract :
This paper presents the prediction of TV station ratings considering the user´s profile of its audience, received from their settop boxes. It is based on a TV content recommender for groups that uses multidimensional classifications following the TV-Anytime approach. Two applications are presented in order to maximize ratings: an algorithm to configure the TV program schedule of a TV station, and another one that decides in real time between a set of contents which one a TV station should broadcast in a certain moment to increase the audience.
Keywords :
digital television; set-top boxes; television broadcasting; television stations; TV content recommender; TV program schedule; TV-anytime approach; TV-station ratings prediction; content recommenders; multidimensional classifications; settop boxes; user profile; Avatars; Classification algorithms; Programming; Real time systems; Schedules; Semantics; TV;
Conference_Titel :
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8711-0
DOI :
10.1109/ICCE.2011.5722624
