Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Braschler, Martin | - |
dc.contributor.author | Imhof, Melanie | - |
dc.contributor.author | Rietberger, Stefan | - |
dc.date.accessioned | 2018-03-29T08:33:44Z | - |
dc.date.available | 2018-03-29T08:33:44Z | - |
dc.date.issued | 2013 | - |
dc.identifier.isbn | 978-3-642-54797-3 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/4499 | - |
dc.description.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. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Springer | de_CH |
dc.relation.ispartof | Bridging between information retrieval and databases | de_CH |
dc.relation.ispartofseries | Lecture Notes in Computer Science | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | IE | de_CH |
dc.subject | INIT | de_CH |
dc.subject.ddc | 020: Bibliotheks- und Informationswissenschaft | de_CH |
dc.title | Black box evaluation for operational information retrieval applications | de_CH |
dc.type | Buchbeitrag | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
zhaw.publisher.place | Heidelberg | de_CH |
dc.identifier.doi | 10.1007/978-3-642-54798-0_9 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 207 | de_CH |
zhaw.pages.start | 192 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.series.number | 8173 | de_CH |
zhaw.publication.review | Editorial review | de_CH |
zhaw.webfeed | Information Engineering | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
There are no files associated with this item.
Show simple item record
Braschler, M., Imhof, M., & Rietberger, S. (2013). Black box evaluation for operational information retrieval applications. In Bridging between information retrieval and databases (pp. 192–207). Springer. https://doi.org/10.1007/978-3-642-54798-0_9
Braschler, M., Imhof, M. and Rietberger, S. (2013) ‘Black box evaluation for operational information retrieval applications’, in Bridging between information retrieval and databases. Heidelberg: Springer, pp. 192–207. Available at: https://doi.org/10.1007/978-3-642-54798-0_9.
M. Braschler, M. Imhof, and S. Rietberger, “Black box evaluation for operational information retrieval applications,” in Bridging between information retrieval and databases, Heidelberg: Springer, 2013, pp. 192–207. doi: 10.1007/978-3-642-54798-0_9.
BRASCHLER, Martin, Melanie IMHOF und Stefan RIETBERGER, 2013. Black box evaluation for operational information retrieval applications. In: Bridging between information retrieval and databases. Heidelberg: Springer. S. 192–207. ISBN 978-3-642-54797-3
Braschler, Martin, Melanie Imhof, and Stefan Rietberger. 2013. “Black Box Evaluation for Operational Information Retrieval Applications.” In Bridging between Information Retrieval and Databases, 192–207. Heidelberg: Springer. https://doi.org/10.1007/978-3-642-54798-0_9.
Braschler, Martin, et al. “Black Box Evaluation for Operational Information Retrieval Applications.” Bridging between Information Retrieval and Databases, Springer, 2013, pp. 192–207, https://doi.org/10.1007/978-3-642-54798-0_9.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.