Generating a machine-learned model for scoring skills based on feedback from job posters
US11663536B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 17, 2019 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | May 31, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06398
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Techniques for scoring data items using a machine-learned model are provided. In one technique, multiple skills are identifying based on a job posting. Multiple attribute values of the job posting are identified. For each identified skill, multiple probabilities are identified, each probability corresponding to a different attribute value of the identified attribute values. The probabilities are input into a machine-learned model to generate multiple scores. Multiple skills of a candidate user are identified. An affinity score between the job posting and the candidate user is generated based the scores and the skills of the candidate user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.