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AVATAR: A multi-agent TV recommender system using MHP applications

Abstract:

In this paper we present AVATAR, a recommender of personalized TV contents, for which an open multi-agent architecture is proposed. This tool uses different knowledge inference strategies, even though we focus on the description of one of them, the naive Bayesian classifiers. Standardization is a key issue to achieve wide deployment in this kind of systems. So, the described recommendation tool has been conceived as an application conforming to Multimedia Home Platform (MHP) standard, to be distributed in the broadcast transport stream that will be tuned by each user's receiver. Also, the TV-Anytime specification has been used referred to the description of contents, the users preferences and their activity logs. © 2005 IEEE.

Año de publicación:

2005

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Inteligencia artificial
    • Ciencias de la computación

    Áreas temáticas:

    • Comunicaciones

    Contribuidores:

    Ramos-Cabrer M.Ramos-Cabrer M.
    Barragáns-Martínez B.Barragáns-Martínez B.
    Solla A.G.Solla A.G.
    José Pazos-AriasJosé Pazos-Arias
    Martín López-NoresMartín López-Nores
    Blanco-FernÁndez Y.Blanco-FernÁndez Y.