Systems and methods for disparate data source aggregation, self-adjusting data model and API
US11675782B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2021 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Dec 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/279
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.