Microsoft Corporation
Method and system of utilizing unsupervised learning to improve text to content suggestions
Last updated:
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.
Status:
Grant
Type:
Utility
Filling date:
1 May 2019
Issue date:
30 Aug 2022