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167
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SIGIR
2011
ACM
226
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Information Technology
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SIGIR 2011
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Learning to rank from a noisy crowd
14 years 6 months ago
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www.ischool.utexas.edu
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
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