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METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IDENTIFYING AND COMPENSATING CONTENT CONTRIBUTORS

机译:识别和补偿内容贡献者的方法,装置和计算机程序产品

摘要

A method, apparatus and computer program product are provided to incentivize crowd sourcing of data by identifying and compensating content contributors based on a value of the content to training a neural network. Methods may include: receiving a request for a machine learning model trained from training data received from a plurality of data contributors, where the training data identified a contributor having provided the respective training data; processing the request for the machine learning model to infer a result based on a subset of training data relevant to the request; identifying one or more data contributors that provided the subset of training data relevant to the request; and providing compensation to the one or more data contributors that provided the subset of training data.
机译:提供了一种方法,装置和计算机程序产品,以通过基于内容的值识别和补偿内容贡献者来训练神经网络,从而激励数据的众包。方法可以包括:从从多个数据贡献者接收的训练数据中接收对训练的机器学习模型的请求,其中,训练数据标识出已经提供了相应训练数据的贡献者;基于与该请求相关的训练数据的子集处理对机器学习模型的请求以推断结果;确定一个或多个提供与请求有关的训练数据子集的数据提供者;向提供训练数据子集的一个或多个数据提供者提供补偿。

著录项

  • 公开/公告号US2020311757A1

    专利类型

  • 公开/公告日2020-10-01

    原文格式PDF

  • 申请/专利权人 HERE GLOBAL B.V.;

    申请/专利号US201916362876

  • 发明设计人 TERO JUHANI KESKI-VALKAMA;

    申请日2019-03-25

  • 分类号G06Q30/02;G06N5/04;G06N3/08;G06N20/10;

  • 国家 US

  • 入库时间 2022-08-21 11:22:25

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