System, method, and computer program product for learning continuous embedding space of real time payment transactions
US11847654B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2021 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | Feb 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for learning continuous embedding space of real time payment (RTP) transactions are provided. A method may include receiving RTP data including a plurality of attributes, including a sender and a receiver. One attribute is selected as a target attribute. The remaining attributes are input into a first machine learning model (e.g., NLP model), comprising at least one embedding layer and one hidden layer, which is trained to predict the target attribute. After the model is trained, each of the remaining attributes are converted to a first vector using the at least one embedding layer of the machine learning model to form a first set of vectors. The first set of vectors are stored and subsequently input into a second machine learning model to perform at least one second task different than the first task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.