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A User Evaluation Of Web Recommender Systems

In: Advances In Doctoral Research In Management

Author

Listed:
  • Ulrike Bauernfeind

    (Institute for Tourism and Leisure Studies, Vienna University of Economics and Business Administration, Augasse 2-6, 1090 Wien, Austria)

Abstract

The World Wide Web (WWW) offers an overwhelming amount of information. Decision-aid systems like web recommenders are an appropriate means to reduce this abundance of information by filtering out relevant items according to the user's previously stated preferences. Therefore, the significance of recommender systems increases significantly. However, approaches measuring user satisfaction with recommender systems are rarely found. A model covering the factors impacting consumer satisfaction with recommender systems is proposed. The model is empirically tested using three recommender systems. Test persons are asked to simulate a real system/user interaction and evaluate the recommender systems afterwards. The goal is to identify factors having the most significant impact on recommender system satisfaction.

Suggested Citation

  • Ulrike Bauernfeind, 2006. "A User Evaluation Of Web Recommender Systems," World Scientific Book Chapters, in: Luiz Moutinho & Graeme Hutcheson & Paulo Rita (ed.), Advances In Doctoral Research In Management, chapter 6, pages 137-151, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812707246_0006
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