Systems and methods for machine learning models for entity resolution
US11321366B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2021 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Jun 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer-readable media for linking multiple data entities. The method collects a snapshot of data from one or more data sources and converts it into a canonical representation of records expressing relationships between data elements in the records. The method next cleans the records to generate output data of entities by grouping chunks of records using a machine learning model. The method next ingests the output data of entities to generate a versioned data store of the entities and optimizes versioned data store for real-time data lookup. The method then receives a request for data pertaining to a real-world entity and presenting relevant data from the versioned data store of entities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.