首页> 外国专利> METHOD FOR EVALUATING SINCERITY OF WORKER USING ACTUAL WORKING TIME OF CROWDSOURCING BASED PROJECTS FOR ARTIFICIAL INTELLIGENCE TRAINING DATA GENERATION

METHOD FOR EVALUATING SINCERITY OF WORKER USING ACTUAL WORKING TIME OF CROWDSOURCING BASED PROJECTS FOR ARTIFICIAL INTELLIGENCE TRAINING DATA GENERATION

机译:人工智慧训练数据生成基于项目的实际工作时间评估工作人员准确性的方法

摘要

A method for evaluating the integrity of workers using the actual working time of a crowdsourcing-based project for generating artificial intelligence learning data is provided. The method includes a step of assigning a plurality of tasks of a crowdsourcing-based project to a plurality of workers and requesting the task to be performed, receiving a plurality of work results from the plurality of workers, and each task assigned to each worker. Measuring the occupied time for each task based on the time when the task was started and the time when the task was completed and the task result was input, and each worker is in an online workspace for performing the task for each task. And measuring the actual required time for each job based on the access time, and evaluating the integrity of each worker based on the occupied time and the actual required time.
机译:提供了一种使用基于众包的项目的实际工作时间来评估工人完整性的方法,以生成人工智能学习数据。该方法包括以下步骤:将基于众包的项目的多个任务分配给多个工人,并请求要执行的任务,从多个工人接收多个工作结果,并将每个任务分配给每个工人。根据任务开始的时间,任务完成的时间和输入任务结果的时间,测量每个任务的占用时间,每个工作人员都处于在线工作区中,以执行每个任务的任务。然后根据访问时间测量每个作业的实际所需时间,并根据占用时间和实际所需时间评估每个工人的完整性。

著录项

  • 公开/公告号KR102156583B1

    专利类型

  • 公开/公告日2020-09-17

    原文格式PDF

  • 申请/专利权人 CROWDWORKS;

    申请/专利号KR20200036019

  • 发明设计人 박민우;김주영;

    申请日2020-03-25

  • 分类号G06Q10/06;G06Q10/10;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:44

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