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Predicting Future User Behaviour in Interactive Live TV
EuroITV 2008 – Salzburg – July, 3rd 2008

Martin Gude                     Stefan M. Grünvogel              Andreas Pütz
martin.gude@nexum.de            stefan.gruenvogel@fh-koeln.de    andreas.puetz@pixelpark.com




       Maarweg 149-161   Tel.: +49-221-770-1400   www.nexum.de
       50825 Köln        Fax: +49-221-770-1365
Overview   Requirements for Recommender Systems in live Environments
           Development of the Recommender System
           Evaluation
           Conclusion
Requirements for Recommender Systems
in live Environments
    Development of the Recommender System
    Evaluation
    Conclusion
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV
EuroITV: Predicting future User Behaviour in interactive live TV

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EuroITV: Predicting future User Behaviour in interactive live TV

  • 1. Predicting Future User Behaviour in Interactive Live TV EuroITV 2008 – Salzburg – July, 3rd 2008 Martin Gude Stefan M. Grünvogel Andreas Pütz martin.gude@nexum.de stefan.gruenvogel@fh-koeln.de andreas.puetz@pixelpark.com Maarweg 149-161 Tel.: +49-221-770-1400 www.nexum.de 50825 Köln Fax: +49-221-770-1365
  • 2. Overview Requirements for Recommender Systems in live Environments Development of the Recommender System Evaluation Conclusion
  • 3. Requirements for Recommender Systems in live Environments Development of the Recommender System Evaluation Conclusion