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Treating Crowdsourcing as Examination: How to Score Tasks and Online Workers?. (arXiv:2204.13065v1 [cs.HC])
April 28, 2022, 1:11 a.m. | Guangyang Han, Sufang Li, Runmin Wang, Chunming Wu
cs.LG updates on arXiv.org arxiv.org
Crowdsourcing is an online outsourcing mode which can solve the current
machine learning algorithm's urge need for massive labeled data. Requester
posts tasks on crowdsourcing platforms, which employ online workers over the
Internet to complete tasks, then aggregate and return results to requester. How
to model the interaction between different types of workers and tasks is a hot
spot. In this paper, we try to model workers as four types based on their
ability: expert, normal worker, sloppy worker and …
More from arxiv.org / cs.LG updates on arXiv.org
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