Using Statistical Testing in the Evaluation of Retrieval Experiments.
David A. Hull:
Using Statistical Testing in the Evaluation of Retrieval Experiments.
SIGIR 1993: 329-338@inproceedings{DBLP:conf/sigir/Hull93,
author = {David A. Hull},
editor = {Robert Korfhage and
Edie M. Rasmussen and
Peter Willett 0002},
title = {Using Statistical Testing in the Evaluation of Retrieval Experiments},
booktitle = {Proceedings of the 16th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Pittsburgh,
PA, USA, June 27 - July 1, 1993},
publisher = {ACM},
year = {1993},
isbn = {0-89791-605-0},
pages = {329-338},
ee = {db/conf/sigir/Hull93.html},
crossref = {DBLP:conf/sigir/93},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The standard strategies for evaluation based on precision and recall are examined and their relative
advantages and disadvantages are discussed. In particular, it is suggested that relevance feedback
be evaluated from the perspective of the user. A number of different statistical tests are described for
determining if differences in performance between retrieval methods are significant. These tests have
often been ignored in the past because most are based on an assumption of normality which is not
strictly valid for the standard performance measures. However, one can test this assumption using
simple diagnostic plots, and if it is a poor approximation, there are a number of non-parametric
alternatives.
Copyright © 1993 by the ACM,
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BibTeX
Printed Edition
Robert Korfhage, Edie M. Rasmussen, Peter Willett (Eds.):
Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27 - July 1, 1993.
ACM 1993, ISBN 0-89791-605-0
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