Recommendations for Virtual Universities from Observed User Behavior
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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- 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
- Minsky, M. L. (1988): The Society of Mind. Simon & Schuster, New York.Google Scholar
- Russel, S. and Norvig, P. (1995): Artificial Intelligence — A Modern Approach. Prentice Hall, Upper Saddle River.Google Scholar
- 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
- Shapiro, S. and Varian, H.R. (1999): Information Rules: A Strategic Guide to the Network Economy. Harvard Business School Press, Boston.Google Scholar