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TARGETING A DIGITAL EXPERIENCE USING A BAYES APPROACH

机译:使用贝叶斯方法定位数字体验

摘要

Targeting techniques of a digital experience are presented that offer digital experiences that have a high probability of conversion with respect to a given user visit profile. In some examples, a method may include predicting a likelihood of each digital experience in the offered campaign based on a user visit profile and an indication that a user displaying the user visit profile will be predicting a likelihood of each digital experience in a campaign to be operated based on the user visit profile and an indication that the user displaying the user visit profile will not convert, and deriving the user visit profile includes a probability of conversion for each digital experience in the campaign , The likelihood of conversion for each digital experience in the user visit profile campaign may be derived using a Bayesian framework.
机译:提出了数字体验的目标技术,这些技术提供了相对于给定的用户访问配置文件而言具有高转换可能性的数字体验。在一些示例中,方法可以包括基于用户访问简档和指示用户显示用户访问简档将预测活动中的每种数字体验的可能性的指示来预测所提供的活动中每种数字体验的可能性为:根据用户访问个人资料和显示用户访问个人资料的用户将不会转换的指示进行操作,并得出用户访问个人资料,包括广告系列中每种数字体验的转化概率,用户访问资料活动可以使用贝叶斯框架来推导。

著录项

  • 公开/公告号DE102018006371A1

    专利类型

  • 公开/公告日2019-04-18

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号DE20181006371

  • 申请日2018-08-13

  • 分类号G16Z99;G06Q30/02;

  • 国家 DE

  • 入库时间 2022-08-21 11:44:56

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