Enhanced machine learning refinement and alert generation system
US12261872B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2021 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Dec 13, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/22
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for enhanced machine learning refinement and alert generation. An example method includes accessing datasets storing customer information reflecting transactions of customers. Individual risk scores are generated for the customers based on the customer information. Generating the risk score includes providing identified occurrences of scenario definitions and customer information as input to one or more machine learning models, the scenario definitions identifying occurrences of specific information reflected in the datasets, with the machine learning models assign respective risk scores to the customers. An interactive user interface is presented. The interactive user presents summary information associated with the risk scores, with the interactive user interfaces enabling an investigation into whether a particular customer is exhibiting risky behavior, responds to user input indicating feedback usable to update the one or more machine learning models or scenario definitions, with the feedback triggering updating of the machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.