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SYSTEMS AND METHODS FOR MACHINE LEARNING PREDICTIONS OF THE IMPACT OF DIGITAL CONTENT

机译:机器学习预测数字内容影响的系统和方法

摘要

A system, computer readable medium, and method for analyzing digital content of electronic media files includes presenting control media content to a set of control respondents for consumption and presenting test media content to a set of test respondents for consumption. The method includes receiving first responses to a survey related to topics of the control media content from the set of control respondents and second responses to the survey about the test media content from the set of test respondents. The method includes performing feature extraction on the test media content and performing feature extraction on the first responses and the second responses. The feature extraction obtains response features associated with the first responses and the second responses. The method includes training a regression machine learning model with the media content features and the response features.
机译:一种用于分析电子媒体文件的数字内容的系统,计算机可读介质和方法,包括将控制媒体内容呈现给一组控制响应者以供消费,以及将测试媒体内容呈现给一组测试响应者以供消费。该方法包括从该组控制应答者接收对与该控制媒体内容的主题有关的调查的第一响应,以及从该组测试应答者接收对该调查的关于测试媒体内容的第二响应。该方法包括对测试媒体内容执行特征提取以及对第一响应和第二响应进行特征提取。特征提取获得与第一响应和第二响应相关联的响应特征。该方法包括用媒体内容特征和响应特征训练回归机器学习模型。

著录项

  • 公开/公告号US2020342472A1

    专利类型

  • 公开/公告日2020-10-29

    原文格式PDF

  • 申请/专利权人 WORLDVIEW INCORPORATED;

    申请/专利号US202016839354

  • 发明设计人 VALERIE COFFMAN;JAMES SLEZAK;

    申请日2020-04-03

  • 分类号G06Q30/02;G06N20;

  • 国家 US

  • 入库时间 2022-08-21 11:22:51

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