公开(公告)号：US20190180357A1

公开(公告)日：2019-06-13

申请号：US16280716

申请日：2019-02-20

Applicant: Google LLC

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

IPC: G06Q30/08 ,  G06N20/00 ,  G06F16/2457 ,  G06F16/951 ,  G06F16/958

CPC classification number: G06Q30/08 ,  G06F16/24578 ,  G06F16/951 ,  G06F16/958 ,  G06N20/00

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.

公开(公告)号：US20240354839A1

公开(公告)日：2024-10-24

申请号：US18762422

申请日：2024-07-02

Applicant: GOOGLE LLC

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 ,  Yingwei Cui

IPC: G06Q30/08 ,  G06F16/2457 ,  G06F16/951 ,  G06F16/958 ,  G06N20/00

CPC classification number: G06Q30/08 ,  G06F16/24578 ,  G06F16/951 ,  G06F16/958 ,  G06N20/00

Abstract: A method and system for adjusting ads auction using predicted user responses to an in-ad survey is provided. The method includes (1) providing a content item associated with an actionable object, which when selected, causes a computing device to present a plurality of interactive elements each corresponding to a different one of a plurality of reasons for restricting the content item; (2) receiving, from the computing device, data indicating a particular reason, of the plurality of reasons, for restricting the content item, and the particular reason corresponding to a particular interactive element, of the plurality of interactive elements, that was selected by the user; and (3) updating, using the received data, a content selection model for selecting content items, wherein the content selection model is associated with the user.

公开(公告)号：US11989755B1

公开(公告)日：2024-05-21

申请号：US17816561

申请日：2022-08-01

Applicant: Google LLC

Inventor： Gaofeng Zhao ,  Yingwei Cui ,  Hui Tan ,  Bahman Rabii ,  Wei Chai

IPC: G06Q30/0241 ,  G06F40/14 ,  G06Q30/0242

CPC classification number: G06Q30/0249 ,  G06F40/14 ,  G06Q30/0242

Abstract: 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.

公开(公告)号：US10943259B1

公开(公告)日：2021-03-09

申请号：US16388953

申请日：2019-04-19

Applicant: Google LLC

Inventor： Gaofeng Zhao ,  Yingwei Cui ,  Hui Tan ,  Bahman Rabii ,  Wei Chai

IPC: G06Q30/02 ,  G06F40/14

Abstract: 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.

公开(公告)号：US20210035207A1

公开(公告)日：2021-02-04

申请号：US17074132

申请日：2020-10-19

Applicant: Google LLC

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 ,  Yingwei Cui

IPC: G06Q30/08 ,  G06F16/2457 ,  G06N20/00 ,  G06F16/958 ,  G06F16/951

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.

公开(公告)号：US12154129B2

公开(公告)日：2024-11-26

申请号：US18233069

申请日：2023-08-11

Applicant: GOOGLE LLC

Inventor： Gaofeng Zhao ,  Ping Fu

IPC: G06Q30/0242 ,  G06F16/2457 ,  G06Q30/0241

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for providing network activity performance data in a content infrastructure. Instructions stored in the system or apparatus, when executed by processors, cause the processors to: identify a content item provided by a content provider device; calculate a set of keyword scores for the set of keywords, each keyword score calculated to measure a relationship between a semantic word cluster of the keyword and a semantic word cluster of an other content for which the content item was previously selected; determine an effect that a particular keyword of the set of keywords has on the online content selection process based on the set of keyword scores; generate a report indicating the effect that the particular keyword has on the online content selection process; and provide, via a network, the report to a client device.

公开(公告)号：US12062085B2

公开(公告)日：2024-08-13

申请号：US17074132

申请日：2020-10-19

Applicant: Google LLC

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 ,  Yingwei Cui

IPC: G06Q30/00 ,  G06F16/2457 ,  G06F16/951 ,  G06F16/958 ,  G06N20/00 ,  G06Q30/08

CPC classification number: G06Q30/08 ,  G06F16/24578 ,  G06F16/951 ,  G06F16/958 ,  G06N20/00

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.

公开(公告)号：US11430003B1

公开(公告)日：2022-08-30

申请号：US17166573

申请日：2021-02-03

Applicant: Google LLC

Inventor： Gaofeng Zhao ,  Yingwei Cui ,  Hui Tan ,  Bahman Rabii ,  Wei Chai

IPC: G06Q30/02 ,  G06F40/14

Abstract: 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.

公开(公告)号：US20230385868A1

公开(公告)日：2023-11-30

申请号：US18233069

申请日：2023-08-11

Applicant: GOOGLE LLC

Inventor： Gaofeng Zhao ,  Ping Fu

IPC: G06Q30/0242 ,  G06Q30/0241 ,  G06F16/2457

CPC classification number: G06Q30/0242 ,  G06F16/24578 ,  G06Q30/0247

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for providing network activity performance data in a content infrastructure. Instructions stored in the system or apparatus, when executed by processors, cause the processors to: identify a content item provided by a content provider device; calculate a set of keyword scores for the set of keywords, each keyword score calculated to measure a relationship between a semantic word cluster of the keyword and a semantic word cluster of an other content for which the content item was previously selected; determine an effect that a particular keyword of the set of keywords has on the online content selection process based on the set of keyword scores; generate a report indicating the effect that the particular keyword has on the online content selection process; and provide, via a network, the report to a client device.

公开(公告)号：US11763339B2

公开(公告)日：2023-09-19

申请号：US16823861

申请日：2020-03-19

Applicant: Google LLC

Inventor： Gaofeng Zhao ,  Ping Fu

IPC: G06Q30/0242 ,  G06Q30/0241 ,  G06F16/2457

CPC classification number: G06Q30/0242 ,  G06F16/24578 ,  G06Q30/0247

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for advertisement keyword scoring. A processing circuit receives a request for an advertisement to be provided to a user during a user session. The advertisement is to be provided alongside other content that is associated with a first plurality of keywords. A processing circuit identifies a plurality of advertisements based on the first plurality of keywords. Each of the plurality of advertisements are associated with a second plurality of keywords. The processing circuit calculates a keyword score for each of the second plurality of keywords for each of the plurality of advertisements. Based on the keyword score, one of the keywords for each of the plurality of the plurality of advertisements is selected. Based on a comparison of the selected keywords, the advertisement to be provided to the user is selected.