Computer Science – Learning
Scientific paper
2011-10-09
Computer Science
Learning
Technical Report, 2 figures
Scientific paper
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.
Kesidis George
Kurve Aditya
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