Repeat-buying Theory and its Application for Recommender Services

  • W. Böhm
  • A. Geyer-Schulz
  • M. Hahsler
  • M. Jahn
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


In the context of a virtual university’s information broker we study the consumption patterns for information goods and we investigate if Ehrenberg’s repeat-buying theory which successfully models regularities in a large number of consumer product markets can be applied in electronic markets for information goods, too. First results indicate that Ehrenberg’s repeat-buying theory succeeds in describing the consumption patterns of bundles of complementary information goods reasonably well and that this can be exploited for automatically generating anonymous recommendation services based on such information bundles. An experimental anonymous recommender service has been implemented and is currently evaluated in the Virtual University of the Vienna University of Economics and Business Administration at


Recommender System Information Product Recommender Service Market Basket Consumer Panel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • W. Böhm
    • 1
  • A. Geyer-Schulz
    • 2
  • M. Hahsler
    • 3
  • M. Jahn
    • 3
  1. 1.Mathematische Methoden der StatistikWU-WienWienAustria
  2. 2.Informationsdienste und Elektronische MärkteUniversität Karlsruhe (TH)KarlsruheGermany
  3. 3.InformationswirtschaftWU-WienWienAustria

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