Deep machine learning generation of domain names leveraging token metadata
US11080483B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2018 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Jun 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for generating unregistered internet domain names using machine learning are presented. The techniques include parsing terms in an embedding training corpus of computer-readable text produce a tokenized embedding training corpus of text; adding tag(s) to produce a tagged tokenized embedding training corpus of text; vectorizing to produce a vector space embedding model mapping tagged tokenized terms to vectors; parsing domain names of a domain name training corpus of registered domain names to obtain a tokenized domain name training corpus; adding at least one tag to tokens to obtain a tagged tokenized domain name training corpus; vectorizing using the vector space model to produce a vectorized domain name training corpus; training a machine learning algorithm with the vectorized domain name training corpus to produce a trained machine learning model; generating an output domain name by the trained machine learning model; and outputting the output domain name.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.