Evaluation Methods for Rankings of Facetvalues for Faceted Search
A paper on Evaluation Methods for Rankings of Facetvalues for Faceted Search was accepted at the Conference on Multilingual and Multimodal Information Access Evaluation 2011.Below is the 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 etrieval metric.
A pdf version of the paper can be found here. There is also a longer version with experiments available.
@inproceedings{schuth_evaluation_2011 ,
title = {Evaluation Methods for Rankings of Facetvalues for Faceted Search},
booktitle = {Proceedings of the Conference on Multilingual and Multimodal Information Access Evaluation 2011},
year = {2011},
publisher = {Springer},
author = {Schuth, A. and Marx, M.J.}
}