首页> 外国专利> PREDICTING FUTURE PERFORMANCE OF MULTIPLE WORKERS ON CROWDSOURCING TASKS AND SELECTING REPEATED CROWDSOURCING WORKERS

PREDICTING FUTURE PERFORMANCE OF MULTIPLE WORKERS ON CROWDSOURCING TASKS AND SELECTING REPEATED CROWDSOURCING WORKERS

机译:预测多名工人在众包任务上的未来表现并选择重复的众包工人

摘要

Systems and methods of a job distribution platform for aggregating performance data in a worker profile for workers in performing crowd sourced tasks are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of generating and storing performance data when a worker performs one or more tasks distributed online to their respective computing devices by a job distribution platform which crowd sources tasks over a network to remote workers. The tasks can span current jobs and a history of previous jobs distributed to the worker and the job performance data for the worker is collected for current and previous jobs. New jobs can be assigned to a worker selected based on performance data of the worker. Other types of worker information may also be tracked and generated for multiple workers in various worker pools (channels), for example, psych questions or other more subjective data collected from a worker or contributor in addition to performance.
机译:公开了一种工作分配平台的系统和方法,该系统和方法用于聚集工人简档中的绩效数据,以供工人执行来自人群的任务。一方面,本公开的实施例包括一种方法,该方法可以在系统上实现,当工人执行一个或多个任务时,该数据由拥挤资源的工作分配平台在线分配给他们各自的计算设备,从而生成和存储绩效数据。通过网络将任务分配给远程工作者。这些任务可以跨越当前作业,并且可以分配给该工作人员的先前工作的历史记录,并且可以为该工作人员收集当前和先前工作的工作绩效数据。可以将新作业分配给根据工作人员的绩效数据选择的工作人员。还可以在各种工作人员池(渠道)中为多个工作人员跟踪和生成其他类型的工作人员信息,例如,除了表现外,还从工作人员或贡献者那里收集的心理问题或其他更主观的数据。

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