Systems and methods for training and employing a machine learning system in providing service level upgrade offers
US10387795B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2015 |
| Grant date | Aug 20, 2019 |
| Priority date | — |
| Expiry date | Mar 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A front-end system collects user attribute value data and organizes the data into one or more training data sets and one or more test data sets. The front-end system provides at least some of the test data sets to an input layer of a machine learning system. Within the machine learning system, one or more predictive models are constructed. At an output layer, the predictive models provide output data that includes at least a value indicative of whether a user will upgrade service levels based at least in part on the attribute values logically associated with the respective user. A back-end system generates upgrade offers for subsequent communication to those users identified as being likely to upgrade.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.