HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
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.
Complete list of metadata

Cited literature [5 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01171330
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

File

poster3.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01171330, version 1

Citation

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⟩

Share

Metrics

Record views

105

Files downloads

283