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“More Like This” or “Not for Me”: Delivering Personalised Recommendations in Multi-user Environments

  • David Bonnefoy
  • Makram Bouzid
  • Nicolas Lhuillier
  • Kevin Mercer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)

Abstract

The television as a multi-user device presents some specificities with respect to personalisation. Recommendations should be provided both per-viewers as well as for a group. Recognising the inadequacy of traditional user modelling techniques with the constraint of television’s lazy watching usage patterns, this paper presents a new recommendation mechanism based on anonymous user preferences and dynamic filtering of recommendations. Results from an initial user study indicate this mechanism was able to provide content recommendations to individual users within a multi-user environment with a high level of user satisfaction and without the need for user authentication or individual preference profile creation.

Keywords

Personalisation recommendation preference user model group 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • David Bonnefoy
    • 1
  • Makram Bouzid
    • 1
  • Nicolas Lhuillier
    • 1
  • Kevin Mercer
    • 2
  1. 1.Motorola Labs, Parc des Algorithmes, 91193 Gif-sur-Yvette cedexFrance
  2. 2.Motorola Labs, Jays Close, Viables Industrial Estate, BasingstokeUK

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