Title: Black box evaluation for operational information retrieval applications
Authors : Braschler, Martin
Imhof, Melanie
Rietberger, Stefan
Published in : Bridging Between Information Retrieval and Databases
Pages : 192
Pages to: 207
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Heidelberg
Issue Date: 2013
Series : Lecture Notes in Computer Science
Series volume: 8173
Language : Englisch / English
Subjects : IE; INIT
Subject (DDC) : 020: Bibliotheks- und Informationswissenschaft
Abstract: The black box application evaluation methodology described in this tutorial is applicable to a broad range of operational information retrieval (IR) applications. Contrary to popular, traditional IR evaluation approaches that are limited to measure the IR system performance on a test collection, the black box evaluation methodology considers an IR application in its entirety: the underlying system, the corresponding document collection, and its configuration/application layer. A comprehensive set of quality criteria is used to estimate the user’s perception of the application. Scores are assigned as a weighted average of results from tests that evaluate individual aspects. The methodology was validated in a small evaluation campaign. An analysis of this campaign shows a correlation between the testers’ perception of the applications and the evaluation scores. Moreover, functional weaknesses of the tested IR applications can be identified and then systematically targeted.
Departement: School of Engineering
Organisational Unit: Institut für Angewandte Informationstechnologie (InIT)
Publication type: Buchbeitrag / Book Part
Type of review: Keine Angabe / Not specified
DOI : 10.1007/978-3-642-54798-0_9
ISBN: 978-3-642-54797-3
URI: https://digitalcollection.zhaw.ch/handle/11475/4499
License (according to publishing contract) : Lizenz gemäss Verlagsvertrag / Licence according to publishing contract
Appears in Collections:Publikationen School of Engineering

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