Guest Editors' Introduction: Recommender Systems

  • Authors:
  • Alexander Felfernig;Gerhard Friedrich;Lars Schmidt-Thieme

  • Affiliations:
  • University of Klagenfurt;University of Klagenfurt;University of Hildesheim

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2007

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Abstract

This special issue presents eight articles, five long and three short, on techniques to improve recommender systems. They cover improving such aspects as user interaction with recommenders, the quality of results presented to users, and user trust in presented recommendations. This article is part of a special issue on Recommender Systems.