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  Crowdsourcing Assessments for XML Ranked Retrieval

Alonso, O., Schenkel, R., & Theobald, M. (2010). Crowdsourcing Assessments for XML Ranked Retrieval. In C. Gurrin, Y. He, G. Kazai, U. Kruschwitz, S. Little, T. Roelleke, et al. (Eds.), Advances in Information Retrieval (pp. 602-606). Berlin: Springer. doi:10.1007/978-3-642-12275-0_57.

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Genre: Conference Paper
Latex : Crowdsourcing Assessments for {XML} Ranked Retrieval

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 Creators:
Alonso, Omar1, Author           
Schenkel, Ralf1, Author           
Theobald, Martin1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: Crowdsourcing has gained a lot of attention as a viable approach for conducting IR evaluations. This paper shows through a series of experiments on INEX data that crowdsourcing can be a good alternative for relevance assessment in the context of XML retrieval.

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Language(s): eng - English
 Dates: 20102010
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 536354
DOI: 10.1007/978-3-642-12275-0_57
URI: http://dx.doi.org/10.1007/978-3-642-12275-0_57
Other: Local-ID: C1256DBF005F876D-B7D9981BDECE64FAC1257678002073AE-AlonsoST2010
 Degree: -

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Title: 32nd European Conference on IR Research
Place of Event: Milton Keynes, UK
Start-/End Date: 2010-03-28 - 2010-03-31

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Source 1

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Title: Advances in Information Retrieval
  Subtitle : 32nd European Conference on IR Research, ECIR 2010
  Abbreviation : ECIR 2010
Source Genre: Proceedings
 Creator(s):
Gurrin, Cathal1, Editor
He, Yulan1, Editor
Kazai, Gabriella1, Editor
Kruschwitz, Udo1, Editor
Little, Suzanne1, Editor
Roelleke, Thomas1, Editor
Rüger, Stefan1, Editor
van Rijsbergen, Keith1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 602 - 606 Identifier: ISBN: 978-3-642-12274-3

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 5993 Sequence Number: - Start / End Page: - Identifier: -