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公开(公告)号：US10223742B2
公开(公告)日：2019-03-05
申请号：US14836537
申请日：2015-08-26
Applicant: Google Inc.
Inventor： 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
Abstract: 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.
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Patent Agency Ranking
公开(公告)号：US09313170B1
公开(公告)日：2016-04-12
申请号：US14451253
申请日：2014-08-04
Applicant: GOOGLE INC.
Inventor： Garth Shoemaker , Michael Eugene Aiello
CPC classification number: H04L61/2539 , H04L9/0861 , H04L9/14 , H04L29/06653 , H04L61/2503 , H04L61/307 , H04L61/6013 , H04L63/0281 , H04L63/0407 , H04L63/0421 , H04L63/1433 , H04L2209/24 , H04L2209/42
Abstract: Identity protection and management for electronic communication is described, including receiving a request to provide data from a first address to a second address, the request including an attribute associated with the second address, determining a risk value of the second address based on the attribute associated with the second address and a risk score, based on the risk value of the second address generating a third address that is associated with the first address, and providing the data and the third address to the second address without providing the first address to the second address.
Abstract translation: 描述用于电子通信的身份保护和管理，包括接收从第一地址到第二地址提供数据的请求，该请求包括与第二地址相关联的属性，基于相关联的属性确定第二地址的风险值 基于第二地址的风险值生成与第一地址相关联的第三地址的第二地址和风险分数，并且将数据和第三地址提供给第二地址，而不向第二地址提供第一地址 地址。
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公开(公告)号：US09122557B1
公开(公告)日：2015-09-01
申请号：US14203154
申请日：2014-03-10
Applicant: GOOGLE INC.
Inventor： Andrew Swerdlow , Dan Fredinburg , Garth Shoemaker , Michael Eugene Aiello
CPC classification number: G06F8/71 , G06F9/44505
Abstract: User settings management using external sources is described, including providing a user interface for a user to configure one or more settings that affect functions of an application; the user interface allows the one or more settings to be manipulated by the user, and allows the one or more settings to be configured based on setting data from a third-party entity; receiving input from the user to configure at least a portion of the one or more settings based on the setting data from the entity; identifying that the setting data from the entity includes the at least the portion of the one or more settings; and configuring the at least the portion of the one or more settings based on the setting data from the entity.
Abstract translation: 描述使用外部源的用户设置管理，包括为用户提供用户界面来配置影响应用功能的一个或多个设置; 用户界面允许用户操纵一个或多个设置，并且允许基于来自第三方实体的设置数据配置一个或多个设置; 接收来自所述用户的输入以基于来自所述实体的设置数据来配置所述一个或多个设置的至少一部分; 识别来自所述实体的设置数据包括所述一个或多个设置的所述至少一部分; 以及基于来自所述实体的设置数据来配置所述一个或多个设置的所述至少一部分。
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4.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
Applicant: Google Inc.
Inventor： 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 classification number: G06Q30/08 , G06F17/3053 , G06F17/30864 , G06F17/3089 , G06N99/005
Abstract: 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.
Abstract translation: 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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公开(公告)号：US09519408B2
公开(公告)日：2016-12-13
申请号：US14145596
申请日：2013-12-31
Applicant: GOOGLE INC.
Inventor： Garth Shoemaker , Michael Eugene Aiello
IPC: G06F3/048 , G06F3/0484
CPC classification number: G06F3/0484 , G06F3/04886 , G06N99/005 , H04M1/72563
Abstract: Systems and methods for guided user actions are described, including detecting a first action performed by a user; gathering information associated with the first action; retrieving a predictive model based on the information; determining an applicability level of the predictive model to the first action, the predictive model suggests a second action; providing the second action in a user interface when the applicability level meets a threshold level; and receiving input from the user selecting the second action or a third action.
Abstract translation: 描述用于引导用户动作的系统和方法，包括检测用户执行的第一动作; 收集与第一动作相关的信息; 基于该信息检索预测模型; 确定预测模型对第一动作的适用性水平，预测模型建议第二动作; 当适用性级别满足阈值级别时，在用户界面中提供第二动作; 以及从用户接收选择第二动作或第三动作的输入。
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公开(公告)号：US20150185995A1
公开(公告)日：2015-07-02
申请号：US14145596
申请日：2013-12-31
Applicant: GOOGLE INC.
Inventor： Garth Shoemaker , Michael Eugene Aiello
IPC: G06F3/0484
CPC classification number: G06F3/0484 , G06F3/04886 , G06N99/005 , H04M1/72563
Abstract: Systems and methods for guided user actions are described, including detecting a first action performed by a user; gathering information associated with the first action; retrieving a predictive model based on the information; determining an applicability level of the predictive model to the first action, the predictive model suggests a second action; providing the second action in a user interface when the applicability level meets a threshold level; and receiving input from the user selecting the second action or a third action.
Abstract translation: 描述用于引导用户动作的系统和方法，包括检测用户执行的第一动作; 收集与第一动作相关的信息; 基于该信息检索预测模型; 确定预测模型对第一动作的适用性水平，预测模型建议第二动作; 当适用性级别满足阈值级别时，在用户界面中提供第二动作; 以及从用户接收选择第二动作或第三动作的输入。
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