Systems and methods for machine-learning based entity resolution
US12353441B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2024 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Sep 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2321
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An entity resolution method and system may obtain historical entity data from one or more databases to generate an entity matrix based on a clustering of the historical entity data. The entity resolution method and system may partition the entity matrix into one or more disjointed groups of records based on multi-pass blocking of the attributes associated with the one or more entities and cluster the one or more disjointed groups of records based on one or more similarity metrics between each of the one or more disjointed groups of records. The entity resolution method and system may generate an entity graph for the one or more entities based on the clustering and may create an entity index for an entity based on the entity graph. Ultimately, the entity resolution method and system resolves an entity query of a requestor as matching the entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.