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Volumn 7, Issue 4, 2016, Pages

Incentives for effort in crowdsourcing using the peer truth serum

Author keywords

Crowdsourcing; Mechanism design; Peer prediction

Indexed keywords

CURRICULA; GRADING; MACHINE DESIGN; WEBSITES;

EID: 84964653355     PISSN: 21576904     EISSN: 21576912     Source Type: Journal    
DOI: 10.1145/2856102     Document Type: Article
Times cited : (109)

References (33)
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    • (2005) Management Science , vol.51 , pp. 1359-1373
    • Miller, N.1    Resnick, P.2    Zeckhauser, R.3
  • 17
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    • Mechanism design for the truthful elicitation of costly probabilistic estimates in distributed information systems
    • Athanasios Papakonstantinou, Alex Rogers, Enrico Gerding, and Nicholas Jennings. 2011. Mechanism design for the truthful elicitation of costly probabilistic estimates in distributed information systems. Artificial Intelligence 175, 648-672.
    • (2011) Artificial Intelligence , vol.175 , pp. 648-672
    • Papakonstantinou, A.1    Rogers, A.2    Gerding, E.3    Jennings, N.4
  • 18
    • 5644221311 scopus 로고    scopus 로고
    • A Bayesian truth serum for subjective data
    • 2004
    • Drazen Prelec. 2004. A bayesian truth serum for subjective data. Science 34, 5695 (2004), 462-466.
    • (2004) Science , vol.34 , Issue.5695 , pp. 462-466
    • Prelec, D.1
  • 19
    • 84964640209 scopus 로고    scopus 로고
    • An algorithm that finds truth even if most people are wrong
    • Drazen Prelec and Sebastian Seung. 2006. An algorithm that finds truth even if most people are wrong. Working paper.
    • (2006) Working Paper
    • Prelec, D.1    Seung, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.