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Volumn , Issue , 2017, Pages 79-88

Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CROWDSOURCING; FORECASTING;

EID: 85079540117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (24)
  • 6
    • 84880366208 scopus 로고    scopus 로고
    • A convex formulation for learning from crowds
    • Kajino, H.; Tsuboi, Y.; and Kashima, H. 2012. A convex formulation for learning from crowds. In AAAI.
    • (2012) AAAI
    • Kajino, H.1    Tsuboi, Y.2    Kashima, H.3
  • 9
    • 84875650055 scopus 로고    scopus 로고
    • An analysis of human factors and label accuracy in crowdsourcing relevance judgments
    • Kazai, G.; Kamps, J.; and Milic-Frayling, N. 2013. An analysis of human factors and label accuracy in crowdsourcing relevance judgments. Information retrieval 16(2):138-178.
    • (2013) Information retrieval , vol.16 , Issue.2 , pp. 138-178
    • Kazai, G.1    Kamps, J.2    Milic-Frayling, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.