Measuring the variability in effectiveness of a retrieval system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A typical evaluation of a retrieval system involves computing an effectiveness metric, e.g. average precision, for each topic of a test collection and then using the average of the metric, e.g. mean average precision, to express the overall effectiveness. However, averages do not capture all the important aspects of effectiveness and, used alone, may not be an informative measure of systems' effectiveness. Indeed, in addition to the average, we need to consider the variation of effectiveness across topics. We refer to this variation as the variability in effectiveness. In this paper we explore how the variance of a metric can be used as a measure of variability. We define a variability metric, and illustrate how the metric can be used in practice.

Original languageEnglish
Title of host publicationAdvances in Multidisciplinary Retrieval - First Information Retrieval Facility Conference, IRFC 2010, Proceedings
Pages70-83
Number of pages14
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event1st Information Retrieval Facility Conference, IRFC 2010 - Vienna, Austria
Duration: 31 May 201031 May 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6107 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Information Retrieval Facility Conference, IRFC 2010
Country/TerritoryAustria
CityVienna
Period31/05/1031/05/10

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