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公开(公告)号：US20150254708A1
公开(公告)日：2015-09-10
申请号：US14721068
申请日：2015-05-26
申请人： Google Inc.
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0269 , G06Q30/0241 , G06Q30/0242 , G06Q30/0245 , G06Q30/0251 , G06Q30/0275
摘要： Techniques for affecting display of content may include receiving a request for content to supplement a response to an input initiated by a first user; outputting first content in response to the request, where the first content includes a control feature that is displayable along with the first content, and where the control feature enables the first user to register a negative reaction to the first content; obtaining information relating to the first content based on the negative reaction; identifying second content having one or more characteristics in common with the first content; identifying one or more second users having one or more characteristics in common with the first user; and using the information relating to the first content in determining whether to provide the second content to the one or more second users.
摘要翻译： 用于影响内容显示的技术可以包括接收对内容的请求以补充对由第一用户发起的输入的响应; 响应于所述请求输出第一内容，其中所述第一内容包括可与所述第一内容一起显示的控制特征，以及所述控制特征使得所述第一用户能够向所述第一内容注册否定的反应; 基于负反应获得与第一内容有关的信息; 识别具有与所述第一内容相同的一个或多个特征的第二内容; 识别具有与第一用户共同的一个或多个特征的一个或多个第二用户; 以及在确定是否向所述一个或多个第二用户提供所述第二内容时，使用与所述第一内容有关的信息。
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公开(公告)号：US20170213252A1
公开(公告)日：2017-07-27
申请号：US15431000
申请日：2017-02-13
申请人： Google Inc.
发明人： Terrence Rohan , Tomasz J. Tunguz-Zawislak , Jeremiah Harmsen , Sverre Sundsdal , Thomas M. Annau , Megan Nance , Mayur Dhondu Datar , Julie Tung , Bahman Rabii , Jason C. Miller , Michael Hochberg , Andres S. Perez-Bergquist
CPC分类号： G06Q30/0269 , G06Q30/02 , G06Q30/0273 , G06Q30/0277 , G06Q50/01
摘要： The subject matter of this document generally relates to reducing noise in aggregated data using frequency analysis. In some implementations, a system for reducing data noise using frequency analysis includes a data storage device that stores content and a network association processor in data communication with the data storage device. The network association processor aggregates, for a given group, content of one or more additional groups that each have overlapping members with the given group. The network association processor reduces noise in the aggregated content of the one or more additional groups using frequency analysis by determining, for each portion of content in the aggregated content, a frequency of occurrence of the portion of content within the aggregated content and filtering, from the aggregated content, each portion of content that has a frequency of occurrence that is less than a threshold.
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公开(公告)号：US09607314B1
公开(公告)日：2017-03-28
申请号：US15066225
申请日：2016-03-10
申请人： Google Inc.
发明人： Gaofeng Zhao , Yingwei Cui , Hui Tan , Bahman Rabii , Wei Chai
CPC分类号： G06Q30/0249 , G06F17/2247 , G06F17/30867 , G06Q30/0246 , G06Q30/0253 , G06Q30/0256 , G06Q30/0277
摘要： Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.
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公开(公告)号：US09489682B2
公开(公告)日：2016-11-08
申请号：US14721068
申请日：2015-05-26
申请人： Google Inc.
CPC分类号： G06Q30/0269 , G06Q30/0241 , G06Q30/0242 , G06Q30/0245 , G06Q30/0251 , G06Q30/0275
摘要： Techniques for affecting display of content may include receiving a request for content to supplement a response to an input initiated by a first user; outputting first content in response to the request, where the first content includes a control feature that is displayable along with the first content, and where the control feature enables the first user to register a negative reaction to the first content; obtaining information relating to the first content based on the negative reaction; identifying second content having one or more characteristics in common with the first content; identifying one or more second users having one or more characteristics in common with the first user; and using the information relating to the first content in determining whether to provide the second content to the one or more second users.
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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
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。
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公开(公告)号：US20170286998A1
公开(公告)日：2017-10-05
申请号：US15625705
申请日：2017-06-16
申请人： Google Inc.
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0269 , G06Q30/0241 , G06Q30/0242 , G06Q30/0245 , G06Q30/0251 , G06Q30/0275
摘要： Techniques for affecting display of content may include receiving a request for content to supplement a response to an input initiated by a first user; outputting first content in response to the request, where the first content includes a control feature that is displayable along with the first content, and where the control feature enables the first user to register a negative reaction to the first content; obtaining information relating to the first content based on the negative reaction; identifying second content having one or more characteristics in common with the first content; identifying one or more second users having one or more characteristics in common with the first user; and using the information relating to the first content in determining whether to provide the second content to the one or more second users.
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公开(公告)号：US20170024773A1
公开(公告)日：2017-01-26
申请号：US15289429
申请日：2016-10-10
申请人： Google Inc.
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0269 , G06Q30/0241 , G06Q30/0242 , G06Q30/0245 , G06Q30/0251 , G06Q30/0275
摘要： Techniques for affecting display of content may include receiving a request for content to supplement a response to an input initiated by a first user; outputting first content in response to the request, where the first content includes a control feature that is displayable along with the first content, and where the control feature enables the first user to register a negative reaction to the first content; obtaining information relating to the first content based on the negative reaction; identifying second content having one or more characteristics in common with the first content; identifying one or more second users having one or more characteristics in common with the first user; and using the information relating to the first content in determining whether to provide the second content to the one or more second users.
摘要翻译： 用于影响内容显示的技术可以包括接收对内容的请求以补充对由第一用户发起的输入的响应; 响应于所述请求输出第一内容，其中所述第一内容包括可与所述第一内容一起显示的控制特征，以及所述控制特征使得所述第一用户能够向所述第一内容注册否定的反应; 基于负反应获得与第一内容有关的信息; 识别具有与所述第一内容相同的一个或多个特征的第二内容; 识别具有与第一用户共同的一个或多个特征的一个或多个第二用户; 以及在确定是否向所述一个或多个第二用户提供所述第二内容时，使用与所述第一内容有关的信息。
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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
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.
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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
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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10.发明申请公开(公告)号：US20170061528A1
公开(公告)日：2017-03-02
申请号：US14836537
申请日：2015-08-26
申请人： Google Inc.
发明人： Shilpa Arora , Colin McCulloch , Niyati Yagnik , Creighton Thomas , Manohar Prabhu , Timothy Lipus , Michael Eugene Aiello , Yi Zhang , Ajay Kumar Bangla , Bahman Rabii , Gaofeng Zhao , Yingweii Cui
CPC分类号： G06Q30/08 , G06F17/3053 , G06F17/30864 , G06F17/3089 , G06N99/005
摘要： The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.
摘要翻译： 本公开内容基于反馈来选择第三方内容。 选择器识别包括响应于请求的第一和第二内容项（或更多）的多个内容项。 机器学习引擎确定第一内容项目的第一特征，第二内容项目的第二特征以及网页的第三特征或与请求相关联的设备。 机器学习引擎响应于第一特征和第三特征，基于通过从电子反馈接口形成的元数据信道从设备接收的历史信号生成的机器学习模型来确定第一内容项的第一分数。 机器学习引擎响应于第二特征和第三特征确定第二内容项目的第二分数。 投标模块基于第一和第二分数来确定第一内容项目的价格。
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