A study of unsupervised adaptive crowdsourcing

G. Kesidis, A. Kurve

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We consider unsupervised crowdsourcing performance based on the model wherein the responses of end-users are essentially rated according to how their responses correlate with the majority of other responses to the same subtasks/questions. In one setting, we consider an independent sequence of identically distributed crowdsourcing assignments (meta-tasks), while in the other we consider a single assignment with a large number of component subtasks. Both problems yield intuitive results in which the overall reliability of the crowd is a factor.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Communications, ICC 2012
Pages1438-1442
Number of pages5
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Communications, ICC 2012 - Ottawa, ON, Canada
Duration: Jun 10 2012Jun 15 2012

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2012 IEEE International Conference on Communications, ICC 2012
CountryCanada
CityOttawa, ON
Period6/10/126/15/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A study of unsupervised adaptive crowdsourcing'. Together they form a unique fingerprint.

  • Cite this

    Kesidis, G., & Kurve, A. (2012). A study of unsupervised adaptive crowdsourcing. In 2012 IEEE International Conference on Communications, ICC 2012 (pp. 1438-1442). [6364014] (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2012.6364014