Artificial intelligence techniques for bid optimization used for generating dynamic online content
US11127050B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2019 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | Nov 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for real-time bidding (e.g., for dynamic online content placement) using an optimized final bid. The final bid is determined based on a predicted clearing price and an initial bid. The initial bid represents a value to a prospective content provider, and may be computed based on campaign information. The predicted clearing price is a predicted amount paid, and may be predicted using a model trained using historical winning bids data. The clearing price may be predicted using a quantile regression model, where the quantile can be selected to control bid aggressiveness. In some cases, the quantile is determined based on pacing in an overall campaign. Once the initial bid and the predicted clearing price are calculated, the final bid is computed based on the initial bid and the predicted clearing price.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.