Scoring Concept Terms Using a Deep Network
    3.
    发明申请
    Scoring Concept Terms Using a Deep Network 有权
    使用深度网络评估概念术语

    公开(公告)号:US20140279773A1

    公开(公告)日:2014-09-18

    申请号:US13802184

    申请日:2013-03-13

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values to generate an alternative representation of the features of the resource, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input to generate a respective relevance score for each concept term in a pre-determined set of concept terms, wherein each of the respective relevance scores measures a predicted relevance of the corresponding concept term to the resource.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于使用深层网络评分概念术语。 所述方法之一包括接收包括资源的多个特征的输入,其中每个特征是所述资源的相应属性的值; 使用相应的嵌入功能处理每个特征以生成一个或多个数值; 处理所述数值以产生所述资源的特征的替代表示,其中处理所述浮点值包括将一个或多个非线性变换应用于所述浮点值; 以及处理所述输入的替代表示,以在预定概念术语集中为每个概念项产生相应的相关性得分,其中各个相关性分数中的每一个测量相应概念项与资源的预测相关性。

    Computing numeric representations of words in a high-dimensional space

    公开(公告)号:US09740680B1

    公开(公告)日:2017-08-22

    申请号:US14715421

    申请日:2015-05-18

    Applicant: Google Inc.

    CPC classification number: G06F17/2765 G06F17/2785 G06N99/005 G10L15/06

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining a set of training data, wherein the set of training data comprises sequences of words; training a classifier and an embedding function on the set of training data, wherein training the embedding function comprises obtained trained values of the embedding function parameters; processing each word in the vocabulary using the embedding function in accordance with the trained values of the embedding function parameters to generate a respective numerical representation of each word in the vocabulary in the high-dimensional space; and associating each word in the vocabulary with the respective numeric representation of the word in the high-dimensional space.

    Associating application-specific methods with tables used for data storage

    公开(公告)号:US09870371B2

    公开(公告)日:2018-01-16

    申请号:US13938126

    申请日:2013-07-09

    Applicant: Google Inc.

    CPC classification number: G06F17/30194 G06F9/5083 G06F17/30212 G06F17/30312

    Abstract: A method of accessing data includes storing a table that includes a plurality of tablets corresponding to distinct non-overlapping table portions. Respective pluralities of tablet access objects and application objects are stored in a plurality of servers. A distinct application object and distinct tablet are associated with each tablet access object. Each application object corresponds to a distinct instantiation of an application associated with the table. The tablet access objects and associated application objects are redistributed among the servers in accordance with a first load-balancing criterion. A first request directed to a respective tablet is received from a client. In response, the tablet access object associated with the respective tablet is used to perform a data access operation on the respective tablet, and the application object associated with the respective tablet is used to perform an additional computational operation to produce a result to be returned to the client.

    Suggesting and/or Providing Ad Serving Constraint Information
    7.
    发明申请
    Suggesting and/or Providing Ad Serving Constraint Information 有权
    建议和/或提供广告投放约束信息

    公开(公告)号:US20150012356A1

    公开(公告)日:2015-01-08

    申请号:US14280276

    申请日:2014-05-16

    Applicant: Google Inc.

    Abstract: Targeting information (also referred to as ad “serving constraints”) or candidate targeting information for an advertisement is identified. Targeting information may be identified by extracting topics or concepts from, and/or generating topics or concepts based on, ad information, such as information from a Web page to which an ad is linked (or some other Web page of interest to the ad or advertiser). The topics or concepts may be relevant queries associated with the Web page of interest, clusters, etc.

    Abstract translation: 识别针对广告的定位信息(也称为“服务约束”)或候选定向信息。 定位信息可以通过从广告信息中提取主题或概念,和/或产生主题或概念来识别,诸如广告链接到的网页(或广告感兴趣的某些其他网页)的信息,或者 广告客户)。 主题或概念可以是与感兴趣的网页,群集等相关联的相关查询。

    Associating Application-Specific Methods with Tables Used for Data Storage
    8.
    发明申请
    Associating Application-Specific Methods with Tables Used for Data Storage 有权
    将应用程序特定方法与用于数据存储的表相关联

    公开(公告)号:US20130297592A1

    公开(公告)日:2013-11-07

    申请号:US13938126

    申请日:2013-07-09

    Applicant: Google Inc.

    CPC classification number: G06F17/30194 G06F9/5083 G06F17/30212 G06F17/30312

    Abstract: A method of accessing data includes storing a table that includes a plurality of tablets corresponding to distinct non-overlapping table portions. Respective pluralities of tablet access objects and application objects are stored in a plurality of servers. A distinct application object and distinct tablet are associated with each tablet access object. Each application object corresponds to a distinct instantiation of an application associated with the table. The tablet access objects and associated application objects are redistributed among the servers in accordance with a first load-balancing criterion. A first request directed to a respective tablet is received from a client. In response, the tablet access object associated with the respective tablet is used to perform a data access operation on the respective tablet, and the application object associated with the respective tablet is used to perform an additional computational operation to produce a result to be returned to the client.

    Abstract translation: 访问数据的方法包括存储包括对应于不同的非重叠表部分的多个片的表。 平板电脑访问对象和应用对象的多个存储在多个服务器中。 独特的应用对象和不同的平板电脑与每个平板电脑访问对象相关联。 每个应用程序对象对应于与该表相关联的应用程序的不同实例。 平板电脑访问对象和关联的应用程序对象根据第一个负载平衡标准在服务器之间重新分配。 从客户端接收到针对相应平板电脑的第一请求。 作为响应,与各个平板电脑相关联的平板电脑访问对象被用于在相应的平板电脑上执行数据访问操作,并且使用与各个平板电脑相关联的应用对象来执行附加的计算操作以产生要返回到 客户端。

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