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公开(公告)号:US20210064206A1
公开(公告)日:2021-03-04
申请号:US17095090
申请日:2020-11-11
Applicant: Google LLC
Inventor: Kun Zhang , Willa Angel Chen , Yingwei Cui , William Martin Halpin,, JR. , Bahman Rabii , Tobias Maurer
IPC: G06F3/0485 , G06F16/957 , G06F40/14
Abstract: Methods and systems for displaying content items on an information resource include identifying a supplemental content item to append to a DOM tree of the information resource and identifying a first content item displayed in a first container of the information resource. The methods also includes monitoring a position of a predetermined portion of the first content item relative to a viewport of the application and determining, responsive to monitoring the position of the predetermined portion of the first content item, that the first content item is visible within the viewport of the application. The method also includes appending the supplemental content item in a second container at a first position between the first container and an end of the information resource and displaying the supplemental content item within the viewport of the application responsive to detecting a scroll action towards the end of the information resource.
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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.
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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.
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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
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.
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公开(公告)号:US20220207558A1
公开(公告)日:2022-06-30
申请号:US17697657
申请日:2022-03-17
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.
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公开(公告)号:US20190235720A1
公开(公告)日:2019-08-01
申请号:US16379344
申请日:2019-04-09
Applicant: Google LLC
Inventor: Kun Zhang , Willa Angel Chen , Yingwei Cui , William Martin Halpin,, JR. , Bahman Rabii , Tobias Maurer
IPC: G06F3/0485 , G06F17/22
CPC classification number: G06F3/0485 , G06F16/9574 , G06F17/2247
Abstract: Method and systems for displaying content items on an information resource include identifying a supplemental content item to append to a DOM tree of the information resource and identifying a first content item displayed in a first container of the information resource. The methods also includes monitoring a position of a predetermined portion of the first content item relative to a viewport of the application and determining, responsive to monitoring the position of the predetermined portion of the first content item, that the first content item is visible within the viewport of the application. The method also includes appending the supplemental content item in a second container at a first position between the first container and an end of the information resource and displaying the supplemental content item within the viewport of the application responsive to detecting a scroll action towards the end of the information resource.
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公开(公告)号:US10346492B2
公开(公告)日:2019-07-09
申请号:US15298324
申请日:2016-10-20
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.
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