Abstract
We present an account of designing and evaluating a university-wide expert search engine.We performed system-based evaluation to determine the optimal retrieval settings and an extensive user-based evaluation with three different ser groups: scientific researchers, students, and outside visitors of the website looking for experts. Our search engine significantly outperformed the old search system in terms of effectiveness, efficiency, and user satisfaction. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Liebregts, R., & Bogers, T. (2009). Design and evaluation of a University-wide expert search engine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5478 LNCS, pp. 587–594). https://doi.org/10.1007/978-3-642-00958-7_54
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