Computer-implemented systems configured for automated machine learning contact priority prediction for electronic messages and methods of use thereof
US11082387B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 30, 2020 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Apr 30, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In order to facilitate automatic message prioritization, systems and methods are described including a processor that receives electronic messages, where each electronic message is associated with a sender and a recipient. The processor utilizes a message prioritization machine learning model to predict a current prioritized ordering of the electronic messages based on parameters associated with each electronic message, where the parameters include a calendar event parameter representing a calendar event associated with each electronic message, a personnel parameter associated with the sender of each electronic message, and a message subject parameter associated with a subject of each electronic message, where the current prioritized ordering includes an order of notification of each electronic message according to priority based on an interaction history of historical electronic messages associated with the sender The processor causes to display the electronic messages according to the current prioritized ordering.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.