Enhanced brand matching using multi-layer machine learning
US12112252B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 21, 2021 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | May 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19013
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Devices, systems, and methods are provided for brand matching using multi-layer machine learning. A method may include generating, based on a first embedding vector and a second embedding vector as inputs to a twin neural network, a third embedding vector and a fourth embedding vector; generating, based on the first embedding vector and the second embedding vector as inputs to a difference neural network, a difference vector indicative of a difference between the first embedding vector and the second embedding vector; generating a concatenated vector by concatenating the third embedding vector with the fourth embedding vector and the difference vector; generating, based on the concatenated vector as an input to a feedforward neural network (FFN), a score between zero and one, the score indicative of a relationship between a first entity and a second entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.