首页> 外国专利> TRAINED MODEL ESTABLISHMENT METHOD, ESTIMATION METHOD, PERFORMANCE AGENT RECOMMENDATION METHOD, PERFORMANCE AGENT ADJUSTMENT METHOD, TRAINED MODEL ESTABLISHMENT SYSTEM, ESTIMATION SYSTEM, TRAINED MODEL ESTABLISHMENT PROGRAM, AND ESTIMATION PROGRAM

TRAINED MODEL ESTABLISHMENT METHOD, ESTIMATION METHOD, PERFORMANCE AGENT RECOMMENDATION METHOD, PERFORMANCE AGENT ADJUSTMENT METHOD, TRAINED MODEL ESTABLISHMENT SYSTEM, ESTIMATION SYSTEM, TRAINED MODEL ESTABLISHMENT PROGRAM, AND ESTIMATION PROGRAM

机译:经过培训的模型建立方法,估算方法,性能代理推荐方法,性能代理调整方法,训练模型建立系统,估算系统,培训模型建立计划和估算计划

摘要

A trained model establishment method to be implemented by a computer according to one aspect of the present invention comprises processes of acquiring a plurality of data sets each composed of a combination of first performance data of a first performance by a performer, second performance data of a second performance given with the first performance, and a satisfaction level label indicating the satisfaction level of the performer, and performing machine learning on a satisfaction level estimation model using the plurality of data sets. In the machine learning, the satisfaction level estimation model is trained such that regarding each data set, a result obtained by estimating the satisfaction level of the performer from the first performance data and the second performance data matches the satisfaction level label.
机译:根据本发明的一个方面的计算机实现的训练模型建立方法包括获取多个数据集的过程,每个数据集由执行者的第二性能数据的第一性能的第一性能数据的组合组成 具有第一种性能的第二种性能,以及使用多个数据集的令人满意的水平估计模型的表演者的满意度标签,以及执行机器学习的满意度标签。 在机器学习中,训练满足级别估计模型,例如关于每个数据集,通过从第一性能数据估计执行者的满意度和第二性能数据而获得的结果与满意度级别标签匹配。

著录项

  • 公开/公告号WO2021193033A1

    专利类型

  • 公开/公告日2021-09-30

    原文格式PDF

  • 申请/专利权人 YAMAHA CORPORATION;

    申请/专利号WO2021JP09362

  • 发明设计人 MAEZAWA AKIRA;ISHIKAWA KATSUMI;

    申请日2021-03-09

  • 分类号G10G1;G10H1/36;

  • 国家 JP

  • 入库时间 2022-08-24 21:24:47

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