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moayedikia-studyingcrowd-2018.pdf (3.18 MB)

Studying crowdsourcing using machine learning and optimisation-based approaches

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thesis
posted on 2018-08-01, 00:00 authored by A Moayedikia
This study addressed the challenge of optimising cost and improving accuracy for microtask-crowdsourcing platforms. The research introduced a new method that is able to optimise task assignment, reduce payments to spammers and avoid collecting their answers.

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Pagination

214 p.

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

Ph.D

Copyright notice

The author

Editor/Contributor(s)

W Yeoh

Faculty

Faculty of Business and Law

School

Department of Information Systems & Business Analytics

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