Pruning field weights for content selection
US12026754B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 26, 2023 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Jun 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/90344
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.