Neural embeddings of transaction data
US10789530B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 14, 2019 |
| Grant date | Sep 29, 2020 |
| Priority date | — |
| Expiry date | Jan 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/405
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and computer program products to provide neural embeddings of transaction data. A network graph of transaction data based on a plurality of transactions may be received. The network graph of transaction data may define relationships between the transactions, each transaction associated with at least a merchant and an account. A neural network may be trained based on training data comprising a plurality of positive entity pairs and a plurality of negative entity pairs. An embedding function may then encode transaction data for a first new transaction. An embeddings layer of the neural network may determine a vector for the first new transaction based on the encoded transaction data for the first new transaction. A similarity between the vectors for the transactions may be determined. The first new transaction may be determined to be related to the second transaction based on the similarity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.