Leveraging blockchain based machine learning modeling for expense categorization
US11935050B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 11, 2022 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Oct 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q2220/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods disclosed herein provide automatic expense categorization of transactions or expenditures based on a machine learning (ML) model trained using anonymized transactional data for expenditures that are stored in a public blockchain. The anonymized transactional data for the expenditure and the expense category, may be distributed throughout the blockchain network and recorded in the blockchain. In some implementations, an expenditure may be submitted to the blockchain network for expense categorization. The transactional data for the expenditure may be anonymized to remove confidential and personal identifying information (PII) before it is distributed throughout the blockchain network. Each participating node of the blockchain network may utilize the ML model to identify an expense category for the expenditure. The participating nodes may provide a consensus mechanism in order to arrive at a shared understanding of how to categorize the expenditure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.