Skill-Aware Task Assignment in Crowdsourcing Applications

Panagiotis Mavridis (1) , David Gross-Amblard (1) , Zoltán Miklós (1)

1 UR - Université de Rennes

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.

Domaines: Algorithme et structure de données [cs.DS]; Web

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⟩