Search query and job title proximity computation via word embedding
US10963457B2 · kind B2 · utility
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Key dates
| Filing date | Apr 12, 2019 |
| Grant date | Mar 30, 2021 |
| Priority date | — |
| Expiry date | Sep 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments described herein provide for systems and methods for using a machine-learning model to rank job search results based on the similarity of the job title of each job search result and a job search query that produces the job search results. According to some embodiments, the machine-learning model comprises a word-embedding machine-learning model that maps a word to a vector.
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