Pruning for content selection
US11295346B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 22, 2020 |
| Grant date | Apr 5, 2022 |
| Priority date | — |
| Expiry date | Sep 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- 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 sparse vector representations associated with features of the plurality of sets of 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. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, 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 plurality of positive signal probabilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.