Method and system of utilizing unsupervised learning to improve text to content suggestions
US11455466B2 · kind B2 · utility
3Cited by
3References
20Claims
0Family size
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Key dates
| Filing date | May 1, 2019 |
| Grant date | Sep 27, 2022 |
| Priority date | — |
| Expiry date | Jan 28, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for providing an application-specific embedding for an entire text-to-content suggestions service is disclosed. The method includes accessing a dataset containing unlabeled training data collected from an application, the unlabeled training data being collected under user privacy constraints, applying an unsupervised ML model to the dataset to generate a pretrained embedding; and utilizing the pretrained embedding to train the text-to-content suggestion ML model utilized by the application.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.