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Recommender System: A Personalized TV Guide System

  • Paulo Muniz de Ávila
  • Sérgio Donizetti Zorzo
Part of the Communications in Computer and Information Science book series (CCIS, volume 130)

Abstract

The Electronic Programming Guide helps viewers to navigate between channels, but the measure that new channels are available it is inevitable that information overload occurs making systems EPG inadequate. This situation arises the need of personalized recommendation systems. In this paper we present a recommendation system compliant with the middleware Ginga. Are presented the results obtained with three different mining algorithms running in a set-top Box using real data provide by IBOPE Midia. The IBOPE Midia is the company of the IBOPE group responsible for the communication, media, consumption and audience research.

Keywords

Personalization Multimedia Recommendation system Digital TV 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Paulo Muniz de Ávila
    • 1
    • 2
  • Sérgio Donizetti Zorzo
    • 1
  1. 1.Department of Computer ScienceFederal University of Sao CarlosSão CarlosBrazil
  2. 2.Department of Computer SciencePontifical Catholic University of Minas GeraisPoços de CaldasBrazil

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