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