Systems and methods for selecting third party content based on feedback
US10817931B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 20, 2019 |
| Grant date | Oct 27, 2020 |
| Priority date | — |
| Expiry date | Apr 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.