Using unsupervised machine learning to identify attribute values as related to an input
US12333501B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 23, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Aug 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1053
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Technologies for skill taxonomy management are described. Embodiments include extracting an input text from an online system and applying an unsupervised generative text machine learning model to the input text. The text generator generates a set of sentences based on a job title included in the input text. One or more skills are extracted from the set of sentences. The extracted one or more skills correspond to one or more skills in a skill taxonomy. A frequency distribution is generated over the extracted one or more skills. The one or more skills are ranked based on the frequency distribution. Based on the ranking, a subset of the extracted one or more skills is generated. The subset of the extracted one or more skills is provided to a downstream operation, process, or service of the online system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.