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Recomindation: New Functions for Augmented Memories

  • Carolin Plate
  • Nathalie Basselin
  • Alexander Kröner
  • Michael Schneider
  • Stephan Baldes
  • Vania Dimitrova
  • and Anthony Jameson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)

Abstract

Advances in technological support for augmented personal memories make possible new ways of enhancing the process of product recommendation. Instead of simply analyzing information about a user’s past behavior in order to generate recommendations, a recominder system can additionally supply various types of information from the user’s augmented memory that allows the user to take a more active role in the search for suitable products. We illustrate the paradigm of recomindation with reference to a prototype implementation of the system Specter in a CD shopping scenario and the results of a study with 20 subjects, who found most of the recomindation functionality to constitute a useful enhancement of their shopping experience.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Carolin Plate
    • 1
  • Nathalie Basselin
    • 1
  • Alexander Kröner
    • 1
  • Michael Schneider
    • 1
  • Stephan Baldes
    • 1
  • Vania Dimitrova
    • 1
  • and Anthony Jameson
    • 1
  1. 1.DFKI, German Research Center for Artificial IntelligenceSaarbrückenGermany

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