Integer linear programming based generation of a personalized optimal questionnaire using a skill graph
US12242988B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2021 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Dec 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1053
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The method and system of the present disclosure facilitate automatic, and in an objective manner, selection of an optimal set of technical questions, from a question bank, personalized for a candidate. This ensures consistent, standardized, efficient and objective interviews that result in high quality recruitment, given the diversity of candidates, complexity of job requirements and interviews are inherently subjective. The state-of-the-art depends on responses so far, to generate on-the-fly questions causing a cognitive load on the interviewer. Also, there is no guarantee on the breadth and depth of concepts assessed in each interview. In the present disclosure, skill graphs are employed to create a semantically rich and detailed characterization of questions in terms of concepts. Optimization formulation uses the skill graph to generate constraints, content balancing and objective functions for selection of questions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.