Machine learning model to estimate confidential data values based on job posting
US10902344B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2016 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Oct 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example, one or more job postings, as well as corresponding confidential data values, are obtained from a social networking service. A first set of one or more features are extracted from the one or more job postings. The first set of one or more features and corresponding confidential data values are fed into a machine learning algorithm to train a confidential data value prediction model to output a predicted confidential data value for a candidate job posting. Then, the candidate job posting is obtained and a second set of one or more features are extracted from the candidate job posting. The extracted second set of one or more features is fed to the confidential data value prediction model, outputting the predicted confidential data value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.