Method and system of utilizing unsupervised learning to improve text to content suggestions
US11429787B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | May 1, 2019 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Apr 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method and system for training a text-to-content suggestion ML model include accessing a dataset containing unlabeled training data collected from an application, the unlabeled training data being collected under user privacy constraints, applying an ML model to the dataset to generate a pretrained embedding, and applying a supervised ML model to a labeled dataset to train the text-to-content suggestion ML model utilized by the application by utilizing the pretrained embedding generated by the supervised ML model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.