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Evaluation of retrieval effectiveness with incomplete relevance data: theoretical and experimental comparison of three measures
University of Borås, Swedish School of Library and Information Science.
2008 (English)In: Information Processing & Management, ISSN 0306-4573, E-ISSN 1873-5371, Vol. 44, no 1, 212-225 p.Article in journal (Refereed)
Abstract [en]

This paper investigates two relatively new measures of retrieval effectiveness in relation to the problem of incomplete relevance data. The measures, Bpref and RankEff, which do not take into account documents that have not been relevance judged, are compared theoretically and experimentally. The experimental comparisons involve a third measure, the well-known mean uninterpolated average precision. The results indicate that RankEff is the most stable of the three measures when the amount of relevance data is reduced, with respect to system ranking and absolute values. In addition, RankEff has the lowest error-rate.

Place, publisher, year, edition, pages
Elsevier Ltd , 2008. Vol. 44, no 1, 212-225 p.
National Category
Information Studies
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URN: urn:nbn:se:hb:diva-2387DOI: 10.1016/j.ipm.2007.01.011Local ID: 2320/3314OAI: oai:DiVA.org:hb-2387DiVA: diva2:870478
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2017-12-01

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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