Semantic similarity for machine learned job posting result ranking model
US10832131B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Jul 25, 2017 |
| Grant date | Nov 10, 2020 |
| Priority date | — |
| Expiry date | May 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/1053
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a machine learning algorithm is used to train a deep semantic similarity neural network to output a semantic similarity score between a candidate job search query and a candidate job search result. This semantic similarity score can then be used in a ranking phase to rank job search results in response to a first job search query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.