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