Machine learning system for dynamic generation of computer-implemented policies
US11475002B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2019 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Oct 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Devices and techniques are generally described for dynamic policy determination using machine learning. In some examples, first goal data may be received. A first machine learning model may generate a first computer-executable policy based at least in part on the first goal data. In some examples, a first search query may be received. In various examples, the first search query may be modified by the first computer-executable policy to generate a modified search query. In some examples, first feedback data related to user interaction with search results of the modified search query may be determined. In various examples, at least one parameter of the first machine learning model may be updated based at least in part on the first feedback data to generate a second machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.