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Pbkp_rediction of TV-station ratings based on content recommenders

Abstract:

This paper presents the pbkp_rediction 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. ©2011 IEEE.

Año de publicación:

2011

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Aprendizaje automático

    Áreas temáticas:

    • Interacción social
    • Comunicaciones

    Contribuidores:

    Ramos-Cabrer M.Ramos-Cabrer M.
    Solla A.G.Solla A.G.
    Martín López-NoresMartín López-Nores
    Sotelo R.Sotelo R.
    Blanco-FernÁndez Y.Blanco-FernÁndez Y.