Machine learning models for evaluating entities in a high-volume computer network
US10853739B2 · kind B2 · utility
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Key dates
| Filing date | Jun 9, 2017 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | Aug 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example, a machine learning algorithm is used to train an entity risk evaluation model to output an entity risk score based on transaction data in a computer network. Entity risk scores for various entities may be stored in a database, and retrieved and displayed upon user interaction with one or more reports involving corresponding entities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.