Contributors profile modelization in crowdsourcing platforms
This addresses the issue of unqualified or unmotivated users in crowdsourcing, which can impact task quality, but it appears incremental as it applies an existing theory to a specific domain.
The paper tackles the problem of identifying serious and qualified users in crowdsourcing platforms by introducing a new method based on the theory of belief functions for user expertise modeling.
The crowdsourcing consists in the externalisation of tasks to a crowd of people remunerated to execute this ones. The crowd, usually diversified, can include users without qualification and/or motivation for the tasks. In this paper we will introduce a new method of user expertise modelization in the crowdsourcing platforms based on the theory of belief functions in order to identify serious and qualificated users.