Cross data set knowledge distillation for training machine learning models
US11727270B2 · kind B2 · utility
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Key dates
| Filing date | Feb 24, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Jul 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for training a text-to-content recommendation ML model includes training a first ML model using a first training data set, utilizing the trained first ML model to infer information about the data contained in the first training data set, collecting the inferred information to generate a second training data set, and utilizing the first training data set and the second training data set to train a second ML model. The second ML model may be a text-to-content recommendation ML model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.