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Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
2014
Operations Research
Crowdsourcing systems, in which numerous tasks are electronically distributed to numerous "information piece-workers", have emerged as an effective paradigm for human-powered solving of large scale problems in domains such as image classification, data entry, optical character recognition, recommendation, and proofreading. Because these low-paid workers can be unreliable, nearly all such systems must devise schemes to increase confidence in their answers, typically by assigning each task
doi:10.1287/opre.2013.1235
fatcat:ozoasgl7tvfpbfctwpmbjscuhy