Employee selection via multiple neural networks
US7472097B1 · kind B1 · utility
27Cited by
12References
31Claims
0Family size
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Key dates
| Filing date | Mar 20, 2006 |
| Grant date | Dec 30, 2008 |
| Priority date | — |
| Expiry date | Jul 11, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plurality of neural networks or other models can be used in employee selection technologies. A hiring recommendation can be based at least on processing performed by a plurality of neural networks. For example, parallel or series processing by neural networks can be performed. A neural network can be coupled to one or more other neural networks. A binary or other n-ary output can be generated by one or more of the neural networks. In a series arrangement, candidates can be processed sequentially in multiple stages, and those surviving the stages are recommended for hire.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.