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    STRUCTURED USER GRAPH TO SUPPORT QUERYING AND PREDICTIONS
    1.
    发明申请
    STRUCTURED USER GRAPH TO SUPPORT QUERYING AND PREDICTIONS 审中-公开
    结构化用户图表来支持查询和预测

    公开(公告)号：US20150127632A1

    公开(公告)日：2015-05-07

    申请号：US14071867

    申请日：2013-11-05

    Applicant: Google Inc.

    Inventor： Pranav Khaitan ,  Shobha Diwakar

    IPC: G06F17/30

    CPC classification number: G06F16/9535 ,  G06F16/36

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving user-specific content, the user-specific content being associated with a user of one or more computer-implemented services, processing the user-specific content using one or more parsers to identify one or more entities and one or more relationships between entities, a parser being specific to a schema, and the one or more entities and the one or more relationships between entities being identified based on the schema, providing one or more user-specific knowledge graphs, a user-specific knowledge graph being specific to the user and including nodes and edges between nodes to define relationships between entities based on the schema, and storing the one or more user-specific knowledge graphs.

    Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的用于接收用户特定内容的计算机程序，用户特定内容与一个或多个计算机实现的服务的用户相关联，使用 识别一个或多个实体的一个或多个解析器以及实体之间的一个或多个关系，特定于模式的解析器，以及所述一个或多个实体以及基于所述模式识别的实体之间的一个或多个关系，提供一个或多个 特定于用户的知识图，特定于用户的用户特定知识图，并且包括节点之间的节点和边缘，以基于模式来定义实体之间的关系，以及存储一个或多个用户特定的知识图。

    DETERMINING AND INFERRING USER ATTRIBUTES
    2.
    发明申请
    DETERMINING AND INFERRING USER ATTRIBUTES 审中-公开
    确定和传播用户属性

    公开(公告)号：US20160292299A1

    公开(公告)日：2016-10-06

    申请号：US14167589

    申请日：2014-01-29

    Applicant: Google Inc.

    Inventor： Shobha Diwakar ,  Pranav Khaitan

    IPC: G06F17/30

    CPC classification number: G06F16/9024

    Abstract: Methods and apparatus for determining and inferring user attributes based on detected user activity are presented. A first user attribute may be determined based on first activity of a user. A second user attribute related to the first user attribute may be inferred. A third user attribute may be determined based on second activity of the user that occurs after the first activity. A confidence associated with the second user attribute may be altered in response to a determination that the third user attribute is related to the second user attribute.

    Abstract translation: 提出了基于检测到的用户活动来确定和推断用户属性的方法和装置。 可以基于用户的第一活动来确定第一用户属性。 可以推断与第一用户属性相关的第二用户属性。 可以基于在第一活动之后发生的用户的第二活动来确定第三用户属性。 响应于第三用户属性与第二用户属性相关的确定，可以改变与第二用户属性相关联的置信度。

    Modeling personal entities on a mobile device using embeddings
    3.
    发明授权
    Modeling personal entities on a mobile device using embeddings 有权

    公开(公告)号：US10803391B2

    公开(公告)日：2020-10-13

    申请号：US14812877

    申请日：2015-07-29

    Applicant: GOOGLE INC.

    Inventor： Matthew Sharifi ,  David Petrou ,  Pranav Khaitan

    IPC: G06N5/04 ,  G06N20/00 ,  G06K9/62 ,  G06N5/02 ,  G06F40/295 ,  G06F3/0481 ,  G06F16/2457 ,  G06F16/36

    Abstract: Systems and methods are provided for a personal entity modeling for computing devices. For example, a computing device comprises at least one processor and memory storing instructions that, when executed by the at least one processor, cause the mobile device to perform operations including identifying a personal entity in content generated for display on the mobile device, generating training examples for the personal entity from the content, and updating an embedding used to model the personal entity using the training examples. The embedding may be used to make predictions regarding the personal entity. For example, the operations may also include predicting an association between a first personal entity displayed on the computing device and a second entity based on the embedding, and providing a recommendation, to be displayed on the computing device, related to the second entity.

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