Invention Grant
- Patent Title: Systems and methods for selecting third party content based on feedback
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Application No.: US14836537Application Date: 2015-08-26
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Publication No.: US10223742B2Publication Date: 2019-03-05
- 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
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Foley and Lardner LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F17/30 ; G06Q30/08 ; G06N99/00

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.
Public/Granted literature
- US20170061528A1 SYSTEMS AND METHODS FOR SELECTING THIRD PARTY CONTENT BASED ON FEEDBACK Public/Granted day:2017-03-02
Information query