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iCrowd: An Adaptive Crowdsourcing Framework Ju Fan‡ Guoliang Li† Beng Chin Ooi‡ Kian-lee Tan‡
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Document Date: 2015-04-21 06:41:27


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File Size: 1,90 MB

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City

Melbourne / /

Company

Amazon / Toyota / Samsung / Yahoo / Intel / Figure 4 / /

Country

Brazil / Canada / Australia / China / /

Currency

pence / USD / /

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Facility

National University of Singapore / Tsinghua University / /

IndustryTerm

food items / online workers / greedy-based approximation algorithm / iterative algorithm / approximation algorithm / performance Algorithm / real-world applications / pre-processing step / unknown / efficient algorithm / greedy approximate algorithm / greedy algorithm / online accuracy estimation / efficient online estimation algorithm / classification algorithms / online component / Online Estimation qw / image search / online estimation / online communication / real-time microtask assignment / efficient algorithms / /

OperatingSystem

Ubuntu / /

Organization

Tsinghua University / Beijing / Milwaukee Bucks / National University of Singapore / Singapore / Department of Computer Science / National Basketball Association / FIFA / School of Computing / /

Person

Beng Chin Ooi‡ Kian / /

Position

active worker / existing worker / reflecting worker / Worker Crowdsourcing Platform Answers iCrowd Framework Microtasks Worker / requesting worker / Given worker / worker / first worker / dynamic worker / representative / Renaissance mathematician and astronomer / model worker / Worker Q-Task Answers Qualified Worker / individual worker / /

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iphone / t10 / Apple iPhone 4 Smartphone / Apple iPod Touch Portable Audio Device / Accuracy Estimator / iPad / Toyota Camry / Apple iPod Nano Portable Audio Device / iPod / Jaccard / /

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Victoria / /

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URL

http /

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