Expert recommender systems in practice: evaluating semi-automatic profile generation

Authors:
Tim Reichling;Volker Wulf
Affiliations:
University of Siegen, 57068 Siegen, Germany;University of Siegen and Fraunhofer FIT, 57068 Siegen, Germany
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2009

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Abstract

Expert recommender systems (ERS) are considered a promising technology in knowledge management. However, there are very few studies which evaluated their appropriation in practice. In this paper, we present results of a case study of expert recommender technology in a large European industrial association. Unlike existing expert recommender approaches, the system involves users in selecting textual documents for semi-automatic profile generation. Our study focuses on the appropriation of this functionality and discusses impacts from an organizational perspective.