Determining skill adjacencies using a machine learning model
US11507862B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2020 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Mar 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1053
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, a computer program product, and a computer system for determining skill adjacencies using a machine learning model. A computer calculates first similarity scores between first skill vectors obtained from one or more training datasets and second similarity scores between the first skill vectors and skill category vectors pre-calculated from job requisitions, using both a reference corpus word embedding model and a target corpus word embedding model. The computer generates features extracted from the first similarity scores and the second similarity scores. Based on the features, the computer trains a machine learning model for classifying combinations of skills as adjacent and non-adjacent. The machine learning model is used to determine skill adjacencies between skills extracted from the job requisitions and skills extracted from resumes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.