Systems and methods for selecting third party content based on feedback

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...

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Bibliographische Detailangaben
Hauptverfasser: Thomas, Creighton, Rabii, Bahman, Bangla, Ajay Kumar, Yagnik, Niyati, Cui, Yingwei, Zhang, Yi, Arora, Shilpa, McCulloch, Colin, Aiello, Michael Eugene, Prabhu, Manohar, Lipus, Timothy, Zhao, Gaofeng
Format: Patent
Sprache:eng
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Zusammenfassung: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.