Resource scheduling using machine learning
US11734066B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 8, 2020 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Jan 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5019
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Generally discussed herein are devices, systems, and methods for scheduling tasks to be completed by resources. A method can include identifying features of the task, the features including a time-dependent feature and a time-independent feature, the time-dependent feature indicating a time the task is more likely to be successfully completed by the resource, converting the features to feature values based on a predefined mapping of features to feature values in a first memory device, determining, by a gradient boost tree model and based on a first current time and the feature values, a likelihood the resource will successfully complete the task, and scheduling the task to be performed by the resource based on the determined likelihood.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.