The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 05, 2022

Filed:

Sep. 16, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventor:
Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06N 20/00 (2019.01); G06Q 10/10 (2012.01); G06F 16/9535 (2019.01); H04L 12/28 (2006.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); H04L 12/2816 (2013.01);
Abstract

Representative embodiments disclose mechanisms to automatically rank and select extensions triggered in a digital assistant. A sample set of extensions are executed against a set of curated queries in order to extract a set of features and/or statistics. The system trains a machine learning model based on the features and/or statistics to rank and select extensions based on their response to a query. New extension incorporated into the system are executed against a second set of curated queries to obtain a set of extracted features and/or statistics which are saved for use at runtime. At runtime, a query phrase received by the system triggers one or more tasks from extensions. Extracted features for the triggered extensions are combined with stored features/statistics and at least a subset of the results presented to the trained ranking and selection model. The model ranks and selects appropriate tasks which are presented to the user.


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