Entity resolution using machine learning
US12321330B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 30, 2024 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Jul 30, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/215
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plurality of entity records is received. A machine learning model is used to embed a version of the plurality of entity records into embeddings. The embeddings are used to determine candidate relationships between the plurality of entity records. The determined candidate relationships are analyzed to determine one or more groups of related entity records included in the plurality of entity records. Each of the one or more groups of related entity records identify a corresponding common underlying entity. For a specific entity record group included in the determined one or more groups of related entity records, a new merged entity record is created. The new merged entity record merges elements of individual related entity records included in the specific entity record group.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.