Recommendations for Virtual Universities from Observed User Behavior

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

Abstract

Recently recommender systems started to gain ground in commercial Web-applications. For example, the online-bookseller amazon.com recommends his customers books similar to the ones they bought using the analysis of observed purchase behavior of consumers.

In this article we describe a generic architecture for recommender services for information markets which has been implemented in the setting of the Virtual University of the Vienna University of Economics and Business Administration (http://vu.wu-wien.ac.at). The architecture of a recommender service is defined as an agency of interacting software agents. It consists of three layers, namely the meta-data management system, the broker management system and the business-to-customer interface.

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References

  1. Ieee (2000): Draft Standard for Learning Object Metadata (IEEE P1484.12/D4.0). IEEE Standards Department, Piscataway, 5 February 2000. http://ltsc.ieee.org/doc/wgl2/LOM.WD4.htm
  2. Introna, L. and Nissenbaum, H. (2000): Defining the Web: The politics of search engines, IEEE Computer, 33(1), 54–62.CrossRefGoogle Scholar
  3. Jain, A. K., Murty, M. N. and Flynn, P. J. (1999): Data Clustering: A Review, ACM Computing Surveys, 31(3), 264–323.CrossRefGoogle Scholar
  4. Minsky, M. L. (1988): The Society of Mind. Simon & Schuster, New York.Google Scholar
  5. Resnick, P. and Varian, H.R. (1997): Recommender Systems. Communications of the ACM, 40(3), 56–58.CrossRefGoogle Scholar
  6. Russel, S. and Norvig, P. (1995): Artificial Intelligence — A Modern Approach. Prentice Hall, Upper Saddle River.Google Scholar
  7. Selland, C., anderson, H. and The Yankee Group (2000): E-Biz 150: E-Business Winners and Loosers: Trends to Watch. UpsideToday, February 18th, 2000. http://www.upside.com/texis/mvm/ebiz/story?id=38aleel30
  8. Shapiro, S. and Varian, H.R. (1999): Information Rules: A Strategic Guide to the Network Economy. Harvard Business School Press, Boston.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • A. Geyer-Schulz
    • 1
  • M. Hahsler
    • 1
  • M. Jahn
    • 1
  1. 1.Abteilung für InformationswirtschaftWirtschaftsuniversität WienWienAustria

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