Approximating the wisdom of the crowd

Date

2011-12-17

Author

Ertekin Bolelli, Şeyda
Rudin, Cynthia

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The problem of “approximating the crowd” is that of estimating the crowd’s majority opinion by querying only a subset of it. Algorithms that approximate the crowd can intelligently stretch a limited budget for a crowdsourcing task. We present an algorithm, “CrowdSense,” that works in an online fashion to dynamically sample subsets of labelers based on an exploration/exploitation criterion. The algorithm produces a weighted combination of the labelers’ votes that approximates the crowd’s opinion.

URI

http://media.nips.cc/Conferences/2011/NIPS-Workshops-Book-2011.pdf
https://hdl.handle.net/11511/72591
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.225.7649&rep=rep1&type=pdf

Conference Name

NIPS 2011 Second Workshop on Computational Social Science and the Wisdom of Crowds (17 Aralık 2011)

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

Ş. Ertekin Bolelli and C. Rudin, “Approximating the wisdom of the crowd,” presented at the NIPS 2011 Second Workshop on Computational Social Science and the Wisdom of Crowds (17 Aralık 2011), Granada, Nikaragua, 2011, Accessed: 00, 2021. [Online]. Available: http://media.nips.cc/Conferences/2011/NIPS-Workshops-Book-2011.pdf.