Artificial neural networks-based domain- and company-specific talent selection processes
US11238411B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2021 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Mar 31, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for adaptive recruitment computer system. In one novel aspect, the adaptive recruitment computer system generates a question bank based on a job description, selects adaptively questions from the question bank for an interview, and generates a feedback report for the candidate based on the evaluation of the candidate's answer. In one embodiment, the computer system categorizes a job requirement based on a body of knowledge (BOK) skill knowledge base, generates a question bank, selects adaptively a subset of questions from the generated question bank, wherein each question selected is based on evaluations of candidate's answers to corresponding prior questions using a recurrent neural network (RNN) model, and generates a feedback report for the candidate, wherein the feedback report using the RNN model based on evaluations of answers and a BOK candidate knowledge base, wherein the BOK candidate knowledge base receives updates from the computer system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.