Machine learning to tune probabilistic matching in entity resolution systems
US11720807B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Mar 4, 2020 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Nov 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for data evaluation are provided. A plurality of data records is received, and a first comparison vector is generated by comparing a first and a second data record of the plurality of data records, where the first comparison vector indicates differences between the first and second data records. A machine learning model is trained based at least in part on the first comparison vector. The plurality of data records is evaluated using the machine learning model, and at least two of the plurality of data records are linked based on the evaluation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.