Cross-entity similarity determinations using machine learning frameworks
US12353964B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2021 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Feb 20, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is a need for faster and more accurate predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a method includes identifying a first predictive entity embedding for the first predictive entity and a second predictive entity embedding for a second predictive entity; determining, using a similarity determination machine learning model and based at least in part on the first predictive entity embedding and the second predictive entity embedding, a predicted cross-entity similarity measure; and performing one or more prediction-based actions based at least in part on the predicted cross-entity similarity measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.