TY - GEN
T1 - A study of unsupervised adaptive crowdsourcing
AU - Kesidis, G.
AU - Kurve, A.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84871946458&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871946458&partnerID=8YFLogxK
U2 - 10.1109/ICC.2012.6364014
DO - 10.1109/ICC.2012.6364014
M3 - Conference contribution
AN - SCOPUS:84871946458
SN - 9781457720529
T3 - IEEE International Conference on Communications
SP - 1438
EP - 1442
BT - 2012 IEEE International Conference on Communications, ICC 2012
T2 - 2012 IEEE International Conference on Communications, ICC 2012
Y2 - 10 June 2012 through 15 June 2012
ER -