Abstract
We introduce two metrics aimed at evaluating systems that select facetvalues for a faceted search interface. Facetvalues are the values of meta-data fields in semi-structured data and are commonly used to refine queries. It is often the case that there are more facetvalues than can be displayed to a user and thus a selection has to be made. Our metrics evaluate these selections based on binary relevant assessments for the documents in a collection. Both our metrics are based on Normalized Discounted Cumulated Gain, an often used Information Retrieval metric.
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© 2011 Springer-Verlag Berlin Heidelberg
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Schuth, A., Marx, M. (2011). Evaluation Methods for Rankings of Facetvalues for Faceted Search. In: Forner, P., Gonzalo, J., Kekäläinen, J., Lalmas, M., de Rijke, M. (eds) Multilingual and Multimodal Information Access Evaluation. CLEF 2011. Lecture Notes in Computer Science, vol 6941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23708-9_15
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DOI: https://doi.org/10.1007/978-3-642-23708-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23707-2
Online ISBN: 978-3-642-23708-9
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