论文标题
de l'Incertitude et de l'Incrymision de donnees de Crowdsourcing：监视器
Modelisation de l'incertitude et de l'imprecision de donnees de crowdsourcing : MONITOR
论文作者
论文摘要
众包被定义为将任务外包给一群贡献者。人群在这些平台上非常多样化，其中包括因任务报酬而吸引的恶意贡献者，而不是认真执行它们。必须识别这些贡献者，以避免考虑他们的反应。由于并非所有贡献者都对任务具有相同的能力，因此根据他们的资格使他们的答案重视似乎合适。本文在ICTAI 2019会议上发表，提出了一种方法，用于估算贡献者的概况并使用信念函数理论汇总响应。
Crowdsourcing is defined as the outsourcing of tasks to a crowd of contributors. The crowd is very diverse on these platforms and includes malicious contributors attracted by the remuneration of tasks and not conscientiously performing them. It is essential to identify these contributors in order to avoid considering their responses. As not all contributors have the same aptitude for a task, it seems appropriate to give weight to their answers according to their qualifications. This paper, published at the ICTAI 2019 conference, proposes a method, MONITOR, for estimating the profile of the contributor and aggregating the responses using belief function theory.
