公开(公告)号：US20210081988A1

公开(公告)日：2021-03-18

申请号：US17107680

申请日：2020-11-30

Applicant: Google LLC

Inventor： Mayur Dhondu Datar ,  Jason C. Miller ,  Michael Hochberg ,  Bahman Rabii ,  Megan Kacholia ,  Julie Tung ,  Jeremiah Joseph Harmsen ,  Tomasz J. Tunguz-Zawislak ,  Andres S. Perez-Bergquist

IPC: G06Q30/02 ,  G06F16/9535

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

公开(公告)号：US10817931B2

公开(公告)日：2020-10-27

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 ,  Yingwei Cui

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

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：US10311472B1

公开(公告)日：2019-06-04

申请号：US15432083

申请日：2017-02-14

Applicant: Google LLC

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

IPC: G06F17/00 ,  G06Q30/02 ,  G06F17/22

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：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：US20190164189A1

公开(公告)日：2019-05-30

申请号：US16265691

申请日：2019-02-01

Applicant: Google LLC

Inventor： Mayur Dhondu Datar ,  Jason C. Miller ,  Michael Hochberg ,  Bahman Rabii ,  Megan Kacholia ,  Julie Tung ,  Jeremiah Joseph Harmsen ,  Tomasz J. Tunguz-Zawislak ,  Andres S. Perez-Bergquist

IPC: G06Q30/02 ,  G06F16/9535

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

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：US20190034544A1

公开(公告)日：2019-01-31

申请号：US16145369

申请日：2018-09-28

Applicant: GOOGLE LLC

Inventor： Bahman Rabii ,  Xiaodan Song ,  Yingwei Cui

IPC: G06F17/30

Abstract: 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.

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：US11036813B2

公开(公告)日：2021-06-15

申请号：US16145369

申请日：2018-09-28

Applicant: GOOGLE LLC

Inventor： Bahman Rabii ,  Xiaodan Song ,  Yingwei Cui

IPC: G06F16/00 ,  G06F16/9535 ,  G06F16/9032 ,  G06F16/9038

Abstract: 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.

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.