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Uplift modeling with importance weighting

机译:具有重要性权重的提升模型

摘要

Systems are provided to select targets for communications, designed to cause or provoke the targets to perform a desired action, using bias-corrected models that predict the effect of such communications on the targets. Data regarding previous actions taken by potential targets for communications—also referred to as “candidates”—can be analyzed to determine whether there is a difference in actions taken by candidates who have received prior communications in comparison with candidates who have not received the prior communications. Biases in the selection of candidates to receive the prior communications can be corrected by weighting the data associated with the selected candidates to more closely match the distribution of candidates not selected to receive the prior communications.
机译:提供了用于选择通信目标的系统,该系统被设计为使用预测这种通信对目标的影响的偏差校正模型来促使或激发目标执行所需的动作。可以分析有关潜在通信目标所采取的先前行动的数据(也称为“候选人”),以确定与先前未接受通信的候选人相比,接受先前通信的候选人所采取的行动是否存在差异。可以通过对与所选择的候选者相关联的数据进行加权以更紧密地匹配未被选择来接收先前的通信的候选者的分布,来校正选择要接收先前的通信的候选者中的偏差。

著录项

  • 公开/公告号US10699203B1

    专利类型

  • 公开/公告日2020-06-30

    原文格式PDF

  • 申请/专利权人 AMAZON TECHNOLOGIES INC.;

    申请/专利号US201615272075

  • 申请日2016-09-21

  • 分类号G06Q10;G06Q30/02;G06Q50;G06K9/62;G06N7;G06F16/28;G06F16/2457;

  • 国家 US

  • 入库时间 2022-08-21 11:30:25

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