Machine learning-powered resolution resource service for HCI systems
US11436531B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 12, 2019 |
| Grant date | Sep 6, 2022 |
| Priority date | — |
| Expiry date | Apr 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/2263
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of processing requests from users of a computer system having software and hardware components, wherein each request includes a description of an software or hardware issue, includes: upon receiving a first request, performing content matching using a first instance of the data model to determine if the issue described in the first request has been previously encountered; executing a machine learning algorithm against a new data set to update a second instance of the data model; after the second instance of the data model has been updated, switching the data model used for performing content matching from the first to the second instance of the data model; and upon receiving a second request after the switch, performing content matching using the second instance of the data model to determine if the issue described in the second request has been previously encountered.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.