  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.
