Deterministic message distribution
US10650325B2 · kind B2 · utility
0Cited by
5References
17Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2015 |
| Grant date | May 12, 2020 |
| Priority date | — |
| Expiry date | Sep 23, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/5651
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, the machine learning system to output an expected number of positive responses and an expected number of negative responses based on an input message, determining a threshold differential and a weight value using responses to the plurality of messages, and sending the input message in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being above the threshold differential.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.