Titlebook: Crowdsourced Data Management; Hybrid Machine-Human Guoliang Li,Jiannan Wang,Michael J. Franklin Book 2018 Springer Nature Singapore Pte Ltd

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Crowdsourcing Background,rkflow. Next, Sect. 2.3 introduces some widely used crowdsourcing platforms, and Sect. 2.4 discusses existing tutorials, surveys, and books on crowdsourcing. Finally, Sect. 2.5 presents the optimization goals of crowdsourced data management.

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Quality Control,e tasks are hard and workers may not be good at these tasks. Thus it is important to exploit the different characteristics of workers and tasks and control the quality in crowdsourcing. Existing studies propose various quality-control techniques to address these issues.

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Latency Control,images) may take hours or even days to complete. Thus, another big challenge in crowdsourced data management is latency control, that is, how to reduce job completion time while still keeping good result quality as well as low cost.

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