Determining an association metric for record attributes associated with cardinalities that are not necessarily the same for training and applying an entity resolution model
US11914621B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2019 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Mar 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An association metric for record attributes associated with cardinalities that are not necessarily the same is used for training and/or applying an entity resolution (ER) model. A pair of records includes (a) a first record indicating a first set of values for a first attribute and (b) a second record indicating a second set of values for a second attribute. Each of the first set of values and each of the second set of values are compared to determine individual association metrics. A first-level reduction operation is applied to subsets of the individual association metrics to determine reduced association metrics. A second-level reduction operation is applied to the reduced association metrics to determine an association metric, for the pair of records, for training and/or applying an ER model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.