Multimedia Tools and Applications

, Volume 62, Issue 3, pp 785–820 | Cite as

Recommendations in a heterogeneous service environment

  • Christian ÜberallEmail author
  • Christopher Köhnen
  • Veselin Rakocevic
  • Rudolf Jäger
  • Erich Hoy
  • Muttukrishnan Rajarajan


This paper presents novel algorithms which are able to generate recommendations within a heterogeneous service environment. In this work explicitly set preferences as well as implicitly logged viewing behavior are employed to generate recommendations for Digital Video Broadcast (DVB) content. This paper also discusses the similarity between the DVB genres and YouTube categories. In addition it presents results to show the comparison between well known collaborative filtering methods. The outcome of this comparison study is used to identify the most suitable filtering method to use in the proposed environment. Finally the paper presents a novel Personal Program Guide (PPG), which is used as a tool to visualize the generated recommendations within a heterogeneous service environment. This PPG is also capable of showing the linear DVB content and the non-linear YouTube videos in a single view.


Personalized television Recommendations Content-based Collaborative filtering Similarity Media convergence Personal Program Guide DVB YouTube 


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Christian Überall
    • 1
    • 2
    Email author
  • Christopher Köhnen
    • 1
    • 2
  • Veselin Rakocevic
    • 1
  • Rudolf Jäger
    • 2
  • Erich Hoy
    • 2
  • Muttukrishnan Rajarajan
    • 1
  1. 1.City University LondonLondonUnited Kingdom
  2. 2.University of Applied Sciences - Technische Hochschule MittelhessenFriedbergGermany

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