Machine learning and prediction using graph communities
US10872298B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 11, 2017 |
| Grant date | Dec 22, 2020 |
| Priority date | — |
| Expiry date | Sep 12, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the invention are directed to methods and devices for predicting interactions. One embodiment is directed to a method comprising receiving, by one or more computers, interaction data for a plurality of known interactions between resource providers and users, and creating a topological graph based on the plurality of known interactions. The method may further comprise determining, by the one or more computers, a plurality of communities to form a predictive model, and receiving a request for a prediction. In addition, the method may comprise applying the request to the predictive model, by the one or more computers, by identifying a community in the plurality of communities corresponding to the request, determining a node within the identified community, and providing information regarding the node as the requested prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.