A USER EVALUATION OF WEB RECOMMENDER SYSTEMS

Ulrike Bauernfeind
Additional contact information
Ulrike Bauernfeind: Institute for Tourism and Leisure Studies, Vienna University of Economics and Business Administration, Augasse 2-6, 1090 Wien, Austria

Chapter 6 in Advances in Doctoral Research in Management, 2006, pp 137-151 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe 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.

Keywords: Doctoral; Research; Management Methodology; Data; Analysis; Paradigm; Modeling; International (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812707246_0006 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812707246_0006 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789812707246_0006

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().