Learning based metric determination for service sessions
US10855844B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2018 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | Aug 21, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M2203/401
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Techniques are described for generating metrics about an individual's experience. One of the method describes providing, by at least one processor, the session record as input to at least one computer-processable model that determines, based on the session record, at least one metric for the service session, the at least one model having been trained, using machine learning and based at least partly on survey data for previous service sessions, to provide the at least one metric associated with the individual's experience. The method includes associating, by at least one processor, the metric of the individual's experience with the individual. The method also includes communicating, by at least one processor, the at least one metric for presentation through a user interface of a computing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.