Budget-Optimal Crowdsourcing Using Low-Rank Matrix Approximations

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 recognitio...

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Bibliographic Details
Main Authors: Karger, David R. (Contributor), Oh, Sewoong (Contributor), Shah, Devavrat (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-09-28T12:41:30Z.
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