System for identifying duplicate parties using entity resolution
US11556845B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2019 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Jul 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An entity resolution system performs a method of resolving one or more candidate entities based on a data set. The entity resolution system has a machine learning module and a narrative module. The machine learning module generates a synthesized data set, the synthesized data set comprising similarity ratings for each entity feature. The narrative module applies a clustering analysis to determine one or more distances between the group of similarity ratings for each entity feature and one or more clusters associated with known relationships between entities, generates a narrative output based on one or more distances. The narrative output states at least one identified relationship between at least two entities of the plurality of candidate entities and a confidence score. The narrative engine also provides the narrative output to a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.