Providing ad information using machine learning selection paradigms
US7882045B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2007 |
| Grant date | Feb 1, 2011 |
| Priority date | — |
| Expiry date | Jul 16, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An ad system is described for providing ad selections in response to an ad presentation opportunity. The ad system can use multiple content providers to generate multiple sets of ad candidates. The content providers can apply different ad selection paradigms in generating their sets of ad candidates. The paradigms may act on different aspects of a context pertaining to the ad presentation opportunity. A chooser module and filtering module can cull the set of ad selections from among the plural sets of ad candidates. At least one content provider uses machine learning functionality in generating ad candidates, such as a Naïve Bayesian approach, an affiliate similarity approach, etc. Various content providers also find application in a stand-alone mode.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.