A study of unsupervised adaptive crowdsourcing

G. Kesidis, A. Kurve

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

1 Scopus citations


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
Number of pages5
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


Other2012 IEEE International Conference on Communications, ICC 2012
CityOttawa, ON

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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