A Task Assignment Framework in Skill-Aware Spatial Crowdsourcing
Jun Li, Wei Yang · 2020
Spatial Crowdsourcing (SC) is a popular outsourcing platform that assigns tasks to some individual workers, groups and communities through network. Commonly, the SC needs workers to upload their private information to untrust-worthy entities, which may cause a privacy breach. In this paper, we propose a framework for protecting privacy of workers participating in SC tasks. And we consider a complex scenario that the workers may have some different skills and a task may require a set of skills. What's more, in this framework, we propose an incentive mechanism which considered the feedbacks from task publishers and then adjust the skill level of workers. Experimental results based on synthetic datasets show the obvious improvement on completion quality and efficiency of our framework.