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CONTEXTUAL SKILLS DISCOVERY

机译:语境技能发现

摘要

Recommending one or more relevant skills to a user that are appropriate for the user's current context is provided. A machine learning contextual skills model is trained on data associated with skills that are invoked by the particular user and by various users and context data that defines characteristics of the context of the users, the users' computing devices, and the users' environments in association with the invoked skills. Responsive to a trigger event associated with the user and a computing device, current context data and user data is collected and passed to the contextual skills system. The contextual skills model is applied to the collected data and generates a ranked list of skills. One or more top-ranking skills are selected and provided to the user as one or more skill recommendations that are determined to be relevant to the user and relevant to the user's current context.
机译:提供了适合于用户当前上下文的一种或多种与用户相关的技能。机器学习上下文技能模型是在与特定用户和各种用户调用的技能相关的数据以及定义用户,用户的计算设备以及关联的用户环境的特征的上下文数据上训练的与被调用的技能。响应于与用户和计算设备相关联的触发事件,当前上下文数据和用户数据被收集并传递到上下文技能系统。上下文技能模型将应用于收集的数据,并生成技能排名。选择一种或多种顶级技能,并将其作为一种或多种技能推荐提供给用户,所述一种或多种技能推荐被确定为与用户相关并且与用户的当前上下文相关。

著录项

  • 公开/公告号US2019065975A1

    专利类型

  • 公开/公告日2019-02-28

    原文格式PDF

  • 申请/专利权人 MICROSOFT TECHNOLOGY LICENSING LLC;

    申请/专利号US201715692701

  • 发明设计人 RYEN WILLIAM WHITE;

    申请日2017-08-31

  • 分类号G06N5/04;G06N99/00;G06F7/08;

  • 国家 US

  • 入库时间 2022-08-21 12:05:14

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