Maintaining machine language model state across communications channels
US11373044B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 4, 2019 |
| Grant date | Jun 28, 2022 |
| Priority date | — |
| Expiry date | Dec 18, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M2203/2038
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning models may be used during a communications session to process natural language communications and perform actions relating to the communications session. For example, a machine learning model may be used to provide an automated response to a user, to suggest a completion of text being entered by a user, or to provide information about a relevant resource. Machine learning models may rely on machine learning model data that is updated during a communications session as communications are processed by the machine learning model. To improve the performance of a machine learning model when a user leaves a first communications session and enters a second communications session, the machine learning model data may be stored during a first communications session and then retrieved during the second communications session to initialize a machine learning model for the second communications session.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.