Enhancement of machine learning techniques for an electronic message system
US9582770B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 11, 2016 |
| Grant date | Feb 28, 2017 |
| Priority date | — |
| Expiry date | Apr 11, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/214
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Techniques are described herein for classifying an electronic message with a particular project from among a plurality of projects. In some embodiments, first and second users associated with the electronic message are identified, and one or more first projects associated with the first user and one and more second projects associated with the second user are determined. Projects that are in common between the first projects and the second projects are determined. When only a single project is in common, the electronic message is associated with the single project. When more than a single project is in common, features associated with each of the projects found to be in common are analyzed by a machine learning model to determine the most likely project to associate with the electronic message from among the projects found to be in common.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.