Patent · US Active

Generating context specific electronic communications utilizing a neural network

US12033050B1 · kind B1 · utility

2Cited by
5References
20Claims
0Family size

Assignee

Inventor

Key dates

Filing dateJun 22, 2023
Grant dateJul 9, 2024
Priority date
Expiry dateJun 22, 2043

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH04L51/216
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can utilize language neural networks to automatically generate draft electronic communications for a user account. For example, the disclosed systems leverage composition parameters of a user account (determined from historical electronic communications of the user account, digital content items corresponding to the user account, and/or other application data) with a neural network to automatically generate draft electronic communications that reflect a composition style of a user account and accurately addresses a context of a communication thread. In addition, the disclosed systems can generate electronic communications using the communication generation neural network and save the electronic communication as a draft (e.g., for review by a user of the user account) and/or automatically transmit the electronic message to a recipient user account.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.