System and method for automating the training of enterprise customer response systems using a range of dynamic or generic data sets
US11037549B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2020 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | Jul 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1822
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for automating the training of enterprise customer response systems using a range of dynamic or generic data sets, used to gradually take human supervision and intervention out of the training process for enterprise WA and similar automated response engines, by training existing machine learning models or engines using a heuristic middleman annotation assistant that helps map generic/public/new datasets to the existing machine learning model or engine, and allowing for limited human oversight over the remaining unknown or badly classified data segments which is used to further teach the heuristic and classification model until the human oversight is no longer needed for the heuristic to learn and map newer datasets, thereby reducing human, dollar, and time costs, and improving automated response system efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.