Abstract
Spatial Crowdsourcing Platforms (SCP) are systems that act as brokers that help people requesting location dependent tasks to find suitable workforce to accomplish it. This kind of system has been source of much interest for both academy and industry. However, little has been done to define a crowdsourcing platform and its technical details precisely. Furthermore, much of the research works on this subject have focused specifically on crowdsensing platforms, a special case of SCP. There is also a need to contrast what has been proposed, so far, in this matter with real world SCPs in order to refine and validate the current state of the art results. In this paper, we discuss a list of requirements for SCPs. This list has been identified and validated by an analysis of scientific related works and several commercial SCPs. Based on this list, we also propose a generic architecture for SCPs that is meant to help the understanding of SCPs and the design of better spatial crowdsourcing solutions.
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