Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach

Moayedikia, Alireza, Yeoh, William Ging Sun, Ong, Kok-Leong and Boo, Yee Ling 2019, Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach, Decision support systems, vol. 122, pp. 1-10, doi: 10.1016/j.dss.2019.05.005.

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Title Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach
Author(s) Moayedikia, Alireza
Yeoh, William Ging SunORCID iD for Yeoh, William Ging Sun orcid.org/0000-0002-2964-4518
Ong, Kok-Leong
Boo, Yee Ling
Journal name Decision support systems
Volume number 122
Article ID 113065
Start page 1
End page 10
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-07
ISSN 0167-9236
Keyword(s) Crowdsourcing
Unsupervised expertise estimation
Harmony search
Rough set
Language eng
DOI 10.1016/j.dss.2019.05.005
Indigenous content off
Field of Research 080605 Decision Support and Group Support Systems
Socio Economic Objective 899999 Information and Communication Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122135

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