Evaluation methods for rankings of facetvalues for faceted search

Authors:
Anne Schuth;Maarten Marx
Affiliations:
ISLA, University of Amsterdam, The Netherlands;ISLA, University of Amsterdam, The Netherlands
Venue:
CLEF'11 Proceedings of the Second international conference on Multilingual and multimodal information access evaluation
Year:
2011

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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.