Deep neural network generation of domain names
US12169768B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2017 |
| Grant date | Dec 17, 2024 |
| Priority date | — |
| Expiry date | Aug 12, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L61/4511
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for generating unregistered internet domain names using machine learning (e.g., neural networks) are presented. The techniques can include identifying, using an electronic processor, a subset of registered domain names having at least one specified characteristic, vectorizing, using an electronic processor, a training subset of domain names in the subset of registered domain names to obtain a set of vectors, training, using an electronic processor, a machine learning algorithm with the set of vectors to produce a trained machine learning model, generating, using an electronic processor, at least one output domain name by the trained machine learning model, and outputting the at least one output domain name.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.