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Recommendations based on values

机译:基于价值观的建议

摘要

System, comprehensive:one or more computers and one or more storage devices on which instructions are stored, designed to induce one or more computers to perform operations involving:Provide value-based training data, the training data comprising several instances of (i) user characteristics, (ii) characteristics of corresponding content elements presented to users, and (iii) respective values of a value variable intended for each of the content elements for users, where the respective values of user behaviour with respect to content elements presented to users are determined by a value model based on an anchorage variable in the user behaviour;Train an evaluation model on the training data to generate value-based points from user characteristics and content element characteristics;the classification of a majority of eligible content elements selected by a classification engine for a first user, with the classification engine receiving specific value-based points generated by the trained assessment model for the relevant content elements and the first user; andProvide two or more of the eligible content elements for the first user in a sequence determined by the classification.
机译:系统,全面:存储指令的一个或多个计算机和一个或多个存储设备,旨在诱导一个或多个计算机以执行涉及的操作:提供基于值的训练数据,包括(i)用户的多个实例的训练数据特征,(ii)向用户提供的相应内容元素的特征,以及(iii)用于用户的每个内容元素的值变量的相应值,其中用户行为关于向用户提供的内容元素的相应值由基于用户行为中的锚固变量的值模型决定;在训练数据上培训评估模型,以从用户特征和内容元素特征生成基于值的点;分类选择的大多数合格内容元素的分类发动机为第一用户,分类引擎接收由列车生成的特定值的基于值ED评估模型的相关内容元素和第一个用户;在由分类确定的序列中为第一个用户提供两个或更多个符合条件的内容元素。

著录项

  • 公开/公告号DE202021104223U1

    专利类型

  • 公开/公告日2021-12-16

    原文格式PDF

  • 申请/专利权人 TWITTER INC.;

    申请/专利号DE202120104223U

  • 发明设计人

    申请日2021-08-06

  • 分类号G06Q30/02;G06F17/15;G06N20;

  • 国家 DE

  • 入库时间 2022-08-24 22:52:22

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