Ranking the NTCIR systems based on multigrade relevance

Research output: Contribution to journalConference article

9 Citations (Scopus)

Abstract

At NTCIR-4, new retrieval effectiveness metrics called Q-measure and R-measure were proposed for evaluation based on multigrade relevance. This paper shows that Q-measure inherits both the reliability of noninterpolated Average Precision and the multigrade relevance capability of Average Weighted Precision through a theoretical analysis, and then verify the above claim through experiments by actually ranking the systems submitted to the NTCIR-3 CLIR Task. Our experiments confirm that the Q-measure ranking is very highly correlated with the Average Precision ranking and that it is more reliable than Average Weighted Precision.

Original languageEnglish
Pages (from-to)251-262
Number of pages12
JournalLECTURE NOTES IN COMPUTER SCIENCE
Volume3411
Publication statusPublished - 2005 Sep 14
EventAsia Information Retrieval Symposium, AIRS 2004 - Beijing, China
Duration: 2004 Oct 182004 Oct 20

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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