System and method for entity detection in machine generated messages
US10348667B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2014 |
| Grant date | Jul 9, 2019 |
| Priority date | — |
| Expiry date | Sep 27, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/212
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Disclosed is a system and method for email management that leverages information derived from automatically generated messages in order to identify types of messages and message content. The disclosed systems and methods apply the information learned from decoding previously received messages to other messages in a user's inbox to fully, or at least partially decode the information included within such messages. The disclosed systems and methods analyze messages received in a user's inbox to detect message specific information corresponding to types of content in the message and the location of such content in the messages. The message specific information is then applied to other newly received or identified messages to learn message specific information about those messages. Based on such learning, information can be extracted from such messages in order to increase a user's experience and increase monetization.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.