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EuroITV: Predicting future User Behaviour in interactive live TV

•
•
☕ 🥧 🚲 Martin Gude
☕ 🥧 🚲 Martin Gude
Economy & FinanceEducation
1 of 15
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