Microsoft Corporation
Personalizing natural language understanding systems

Last updated:

Abstract:

Examples of the present disclosure describe systems and methods of personalizing natural language systems. In aspects, personal data may be uploaded to a personalization server. Upon receiving a data request, a server device may query the personalization server using a user's login information. The login data and the associated personal data may be paired and provided to the personalization server. The paired data may then be provided to a language understanding model to generate a response to the data request. The data in the response may be used to train the language understanding model.

Status:
Grant
Type:

Utility

Filling date:

11 Dec 2015

Issue date:

15 Feb 2022