Self learning machine learning transaction scores adjustment via normalization thereof accounting for underlying transaction score bases

US11544715B2 · kind B2 · utility

Assignee

• Socure, Inc. · US

Inventors

• Pablo Ysrrael ABREU · New York, US
• Omar Gutierrez · New York, US
• Ali Haddad · East Haven, US
• Stansilav Palatnik · New York, US
• Lukas Dylan OSBORNE · New York, US

Key dates

• Filing date: Mar 7, 2022
• Grant date: Jan 3, 2023
• Expiry date: Mar 7, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q20/405
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Provided are a system and methodology for iteratively transforming data, as between multiple sets thereof, that account for underlying data generation sources and bases. Doing so, via normalization of the data, enables uniformity of interpretation and presentation of the data no matter the machine learning model that produced the data.