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1. 发明授权

US09141906B2 Scoring concept terms using a deep network 有权
标题翻译：使用深度网络评分概念术语
公开(公告)号：US09141906B2
公开(公告)日：2015-09-22
申请号：US13802184
申请日：2013-03-13
申请人： Google Inc.
发明人： Kai Chen , Xiaodan Song , Gregory S. Corrado , Kun Zhang , Jeffrey A. Dean , Bahman Rabii
IPC分类号： G06F15/18 , G06E1/00 , G06E3/00 , G06G7/00 , G06N3/08 , G06F17/30 , G06N3/04 , G06Q30/02
CPC分类号： G06N3/084 , G06F17/30707 , G06F17/30864 , G06N3/04 , G06N3/0427 , G06N3/08 , G06Q30/02
摘要： 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.
摘要翻译：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合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所述资源的预测相关性。

2. 发明申请

US20170078726A1 EVENT-BASED CONTENT DISTRIBUTION 有权
标题翻译：基于事件的内容分配
公开(公告)号：US20170078726A1
公开(公告)日：2017-03-16
申请号：US14854463
申请日：2015-09-15
申请人： Google Inc.
发明人： Fong Shen , Tao Huang , Jian Chen , Yingwei Cui , Xiaodan Song
IPC分类号： H04N21/2668 , H04N21/81 , H04N21/262 , H04N21/24 , H04N21/258
CPC分类号： H04N21/2668 , H04N21/24 , H04N21/25841 , H04N21/25891 , H04N21/26241 , H04N21/4828 , H04N21/812
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes storing, in a data structure, data specifying a future live event. An opportunity to provide the specified content to a user at a user device is identified. It is determined that (i) a time of the opportunity is between a start time and an end time for the live event, (ii) that a user device is located in a same geographic region as the live event based on geographical data provided by the user device, and (iii) the user is interested in the live event based on attributes of the user matching attributes of other users that were identified as interested in the live event (e.g., based on evaluation of online search data). The content is provided for display at the user device.
摘要翻译：公开了包括用于分发内容的计算机存储介质上编码的计算机程序的方法，系统和装置。一方面，一种方法包括在数据结构中存储指定未来现场活动的数据。识别向用户设备中的用户提供指定内容的机会。确定（i）机会的时间在现场活动的开始时间和结束时间之间，（ii）用户设备位于与直播活动相同的地理区域中，基于由现场活动提供的地理数据用户设备，以及（iii）基于用户匹配属性的用户对现场活动感兴趣的其他用户的身份事件（例如，基于在线搜索数据的评估）。该内容被提供用于在用户设备处显示。

3. 发明申请

US20170039288A1 Content Placement Criteria Expansion 审中-公开
标题翻译：内容放置标准扩展
公开(公告)号：US20170039288A1
公开(公告)日：2017-02-09
申请号：US15298324
申请日：2016-10-20
申请人： Google Inc.
发明人： Bahman Rabii , Xiaodan Song , Yingwei Cui
IPC分类号： G06F17/30
CPC分类号： G06F16/9535 , G06F16/9032 , G06F16/9038
摘要： Systems and methods of providing information via a computer network are provided. A data processing system can identify a cluster that includes a plurality of online content items having a semantic or user similarity. The data processing system determines a plurality of cluster placement criteria of the cluster, and receives content configured for display with a web page. The content can be associated with the cluster based on the semantic or user similarity. A cluster placement criterion of the plurality of cluster placement criteria can be selected based on a quality metric of the selected cluster placement criterion, and the selected cluster placement criterion can be provided as a supplemental criterion used to select the content for display with the web page.
摘要翻译：提供了通过计算机网络提供信息的系统和方法。数据处理系统可以识别包括具有语义或用户相似性的多个在线内容项的集群。数据处理系统确定集群的多个集群放置标准，并且接收配置用于与网页一起显示的内容。内容可以基于语义或用户相似性与集群相关联。可以基于所选择的集群放置标准的质量度量来选择多个集群放置标准的集群放置标准，并且可以提供所选择的集群放置标准作为用于选择用于与网页一起显示的内容的补充标准。

4. 发明授权

US09832504B2 Event-based content distribution 有权
公开(公告)号：US09832504B2
公开(公告)日：2017-11-28
申请号：US14854463
申请日：2015-09-15
申请人： Google Inc.
发明人： Fong Shen , Tao Huang , Jian Chen , Yingwei Cui , Xiaodan Song
IPC分类号： H04N7/16 , H04N21/2668 , H04N21/24 , H04N21/258 , H04N21/262 , H04N21/81
CPC分类号： H04N21/2668 , H04N21/24 , H04N21/25841 , H04N21/25891 , H04N21/26241 , H04N21/4828 , H04N21/812
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content are disclosed. In one aspect, a method includes storing, in a data structure, data specifying a future live event. An opportunity to provide the specified content to a user at a user device is identified. It is determined that (i) a time of the opportunity is between a start time and an end time for the live event, (ii) that a user device is located in a same geographic region as the live event based on geographical data provided by the user device, and (iii) the user is interested in the live event based on attributes of the user matching attributes of other users that were identified as interested in the live event (e.g., based on evaluation of online search data). The content is provided for display at the user device.

5. 发明申请

US20140279773A1 Scoring Concept Terms Using a Deep Network 有权
标题翻译：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
申请人： Google Inc.
发明人： Kai Chen , Xiaodan Song , Gregory S. Corrado , Kun Zhang , Jeffrey A. Dean , Bahman Rabii
IPC分类号： G06N3/08
CPC分类号： G06N3/084 , G06F17/30707 , G06F17/30864 , G06N3/04 , G06N3/0427 , G06N3/08 , G06Q30/02
摘要： 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.
摘要翻译：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。

6. 发明授权

US09514405B2 Scoring concept terms using a deep network 有权
公开(公告)号：US09514405B2
公开(公告)日：2016-12-06
申请号：US14860462
申请日：2015-09-21
申请人： Google Inc.
发明人： Kai Chen , Xiaodan Song , Gregory S. Corrado , Kun Zhang , Jeffrey A. Dean , Bahman Rabii
IPC分类号： G06F15/18 , G06E1/00 , G06E3/00 , G06G7/00 , G06N3/08 , G06F17/30 , G06N3/04 , G06Q30/02
CPC分类号： G06N3/084 , G06F17/30707 , G06F17/30864 , G06N3/04 , G06N3/0427 , G06N3/08 , G06Q30/02
摘要： 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.

7. 发明申请

US20160012331A1 SCORING CONCEPT TERMS USING A DEEP NETWORK 有权
标题翻译：使用深度网络划分概念条款
公开(公告)号：US20160012331A1
公开(公告)日：2016-01-14
申请号：US14860462
申请日：2015-09-21
申请人： Google Inc.
发明人： Kai Chen , Xiaodan Song , Gregory S. Corrado , Kun Zhang , Jeffrey A. Dean , Bahman Rabii
IPC分类号： G06N3/08 , G06F17/30 , G06N3/04
CPC分类号： G06N3/084 , G06F17/30707 , G06F17/30864 , G06N3/04 , G06N3/0427 , G06N3/08 , G06Q30/02
摘要： 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.
摘要翻译：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。

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