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Conference papers

Skill-Aware Task Assignment in Crowdsourcing Applications

Abstract : Besides simple human intelligence tasks such as image labeling, crowdsourcing platforms propose more and more tasks that require very specific skills. In such a setting we need to model skills that are required to execute a particular job. At the same time in order to match tasks to the crowd, we have to model the expertise of the participants. We present such a skill model that relies on a taxonomy. We also introduce task assignment algorithms to optimize the result quality. We illustrate the effectiveness of our algorithms and models through preliminary experiments with synthetic datasets.
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Contributor : Thomas Largillier Connect in order to contact the contributor
Submitted on : Friday, July 3, 2015 - 2:00:34 PM
Last modification on : Thursday, March 18, 2021 - 10:20:01 AM


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  • HAL Id : hal-01171330, version 1


Panagiotis Mavridis, David Gross-Amblard, Zoltán Miklós. Skill-Aware Task Assignment in Crowdsourcing Applications. International Symposium on Web AlGorithms, Jun 2015, Deauville, France. ⟨hal-01171330⟩



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