How many performance measures to evaluate information retrieval systems?-Reference-Cited by-同舟云学术

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How many performance measures to evaluate information retrieval systems?

Published:2011-04-12 Issue:3 Volume:30 Page:693-713
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Baccini Alain,Déjean Sébastien,Lafage Laetitia,Mothe Josiane

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-011-0391-7.pdf

Reference40 articles.

1. Alaux J, Dousset B, Chrisment C, Mothe J (2003) DocCube: multi-dimensional visualisation and exploration of large document sets. J Am Soc Inf Sci Technol 54(7): 650–659

2. Al Hasan M, Salem S, Zaki MJ (2010) SimClus: an effective algorithm for clustering with a lower bound on similarity. Knowl Inf Syst, doi: 10.1007/s10115-010-0360-6 (accepted oct. 2010)

3. Aslam JA, Yilmaz E, Pavlu V (2005) A geometric interpretation of r-precision and its correlation with average precision. In: Proceedings of the international ACM SIGIR conference on research and development in information retrieval 573–574

4. Bigot A, Chrisment C, Dkaki T, Hubert G, Mothe J (2011) Fusing different information retrieval systems according to query topics: a study based on correlation in information retrieval systems and query topics. Inf Retr J

5. Belkin NJ, Croft WB (1992) Information filtering and information retrieval: two sides of the same coin?. Commun ACM 35(12): 29–38

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