- Patent Title: Adjust ads auction using predicted user response to an in-ad survey
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Application No.: US17074132Application Date: 2020-10-19
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Publication No.: US12062085B2Publication Date: 2024-08-13
- 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
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: MARSHALL, GERSTEIN & BORUN LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F16/2457 ; G06F16/951 ; G06F16/958 ; G06N20/00 ; G06Q30/08

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.
Public/Granted literature
- US20210035207A1 ADJUST ADS AUCTION USING PREDICTED USER RESPONSE TO AN IN-AD SURVEY Public/Granted day:2021-02-04
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