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公开(公告)号：US10528988B2
公开(公告)日：2020-01-07
申请号：US14921801
申请日：2015-10-23
Applicant: Google Inc.
Inventor： Amy Wu , Brandon Murdock Pearcy , Nathan Peter Lucash , Jun Xu , Yi Zhang , Zhen Yu
IPC: G06Q30/00 , G06Q30/02 , G06F3/0482 , G06F3/0484 , G06F17/21 , G06T3/40
Abstract: A method of providing an ad extension includes selecting an advertisement for display. The method also includes selecting additional information related to the advertisement. The method also includes transmitting data representing the advertisement to a browser. The browser interacts with an expandable API to render an inline frame having an advertisement slot. The browser renders and displays the advertisement in the frame. The method also includes transmitting display data representing the additional information related to the advertisement to the browser. The browser receives an input to activate the ad extension. In response to the input, the browser interacts with the expandable API system to expand and render the frame. The browser renders, in the frame, the advertisement slot containing the advertisement. The browser also renders, in the frame, the additional information. The browser displays the expanded inline frame, such that the displayed frame covers a portion of the content.
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2.发明申请公开(公告)号：US20190034591A1
公开(公告)日：2019-01-31
申请号：US15690721
申请日：2017-08-30
Applicant: Google Inc.
Inventor： Alexander Mossin , Alvin Rajkomar , Eyal Oren , James Wilson , James Wexler , Patrik Sundberg , Andrew Dai , Yingwei Cui , Gregory Corrado , Hector Yee , Jacob Marcus , Jeffrey Dean , Benjamin Irvine , Kai Chen , Kun Zhang , Michaela Hardt , Xiaomi Sun , Nissan Hajaj , Peter Liu , Quoc Le , Xiaobing Liu , Yi Zhang
Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
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3.发明申请公开(公告)号：US20190034590A1
公开(公告)日：2019-01-31
申请号：US15690714
申请日：2017-08-30
Applicant: Google Inc.
Inventor： Eyal Oren , Yingwei Cui , Gerardo Flores , Gavin Duggan , Kun Zhang , Kurt Litsch , Patrik Sundberg , Yi Zhang
Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
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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：US09177334B2
公开(公告)日：2015-11-03
申请号：US13669036
申请日：2012-11-05
Applicant: Google Inc.
Inventor： Amy Wu , Brandon Murdock Pearcy , Nathan Peter Lucash , Jun Xu , Yi Zhang , Zhen Yu
CPC classification number: G06Q30/0277 , G06F3/0482 , G06F3/04842 , G06F17/211 , G06T3/40
Abstract: A method of providing an ad extension includes selecting an advertisement for display. The method also includes selecting additional information related to the advertisement. The method also includes transmitting data representing the advertisement to a browser. The browser interacts with an expandable API to render an inline frame having an advertisement slot. The browser renders and displays the advertisement in the frame. The method also includes transmitting display data representing the additional information related to the advertisement to the browser. The browser receives an input to activate the ad extension. In response to the input, the browser interacts with the expandable API system to expand and render the frame. The browser renders, in the frame, the advertisement slot containing the advertisement. The browser also renders, in the frame, the additional information. The browser displays the expanded inline frame, such that the displayed frame covers a portion of the content.
Abstract translation: 提供广告扩展的方法包括选择要显示的广告。 该方法还包括选择与该广告相关的附加信息。 该方法还包括将表示广告的数据传送到浏览器。 浏览器与可扩展API交互，以呈现具有广告位的内联框架。 浏览器在框架中呈现和显示广告。 该方法还包括将表示与广告相关的附加信息的显示数据发送到浏览器。 浏览器接收到一个输入以激活广告扩展。 响应于输入，浏览器与可扩展API系统交互以展开和渲染框架。 浏览器在框架中呈现包含广告的广告位。 浏览器还在框架中呈现附加信息。 浏览器显示扩展的内联框架，使得所显示的框架覆盖内容的一部分。
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6.发明申请公开(公告)号：US20190034589A1
公开(公告)日：2019-01-31
申请号：US15690703
申请日：2017-08-30
Applicant: Google Inc.
Inventor： Kai Chen , Patrik Sundberg , Alexander Mossin , Nissan Hajaj , Kurt Litsch , James Wexler , Yi Zhang , Kun Zhang , Jacob Marcus , Eyal Oren , Hector Yee , Jeffrey Dean , Michaela Hardt , Benjamin Irvine , James Wilson , Andrew Dai , Peter Liu , Xiaomi Sun , Quoc Le , Xiaobing Liu , Alvin Rajkomar , Gregory Corrado , Gerardo Flores , Yingwei Cui , Gavin Duggan
Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
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公开(公告)号：USD803853S1
公开(公告)日：2017-11-28
申请号：US29550248
申请日：2015-12-31
Applicant: Google Inc.
Designer： Yi Zhang , Joshua Nedelka , Sean Miller , Thomas Shimko , Matthew Burriesci , Manohar Prabhu , Keith Wright , Matthew Frisbie , Issac VanDuyn , Johan Kartiwa
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8.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：US20160042412A1
公开(公告)日：2016-02-11
申请号：US14921801
申请日：2015-10-23
Applicant: Google Inc.
Inventor： Amy Wu , Brandon Murdock Pearcy , Nathan Peter Lucash , Jun Xu , Yi Zhang , Zhen Yu
IPC: G06Q30/02 , G06F3/0484 , G06F17/21 , G06T3/40 , G06F3/0482
CPC classification number: G06Q30/0277 , G06F3/0482 , G06F3/04842 , G06F17/211 , G06T3/40
Abstract: A method of providing an ad extension includes selecting an advertisement for display. The method also includes selecting additional information related to the advertisement. The method also includes transmitting data representing the advertisement to a browser. The browser interacts with an expandable API to render an inline frame having an advertisement slot. The browser renders and displays the advertisement in the frame. The method also includes transmitting display data representing the additional information related to the advertisement to the browser. The browser receives an input to activate the ad extension. In response to the input, the browser interacts with the expandable API system to expand and render the frame. The browser renders, in the frame, the advertisement slot containing the advertisement. The browser also renders, in the frame, the additional information. The browser displays the expanded inline frame, such that the displayed frame covers a portion of the content.
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