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:
Apr. 14, 2026

Filed:

Sep. 05, 2023
Applicant:

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

Inventors:

Dragomir Dimitrov Yankov, Palo Alto, CA (US);

Chiqun Zhang, Sunnyvale, CA (US);

Antonios Karatzoglou, San Francisco, CA (US);

Helen Alta Craig, Palo Alto, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G01C 21/34 (2006.01); G06F 16/00 (2019.01); G06F 16/2453 (2019.01); G06F 16/2458 (2019.01); G06F 16/28 (2019.01); G06F 16/29 (2019.01); G06F 16/3329 (2025.01); G06F 40/237 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/40 (2020.01); G06N 3/00 (2023.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G01C 21/3407 (2013.01); G06F 16/24545 (2019.01); G06F 16/2462 (2019.01); G06F 16/284 (2019.01); G06F 16/29 (2019.01); G06F 16/3329 (2019.01); G06F 40/237 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/40 (2020.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01);
Abstract

A technique for interacting with map-related information integrates the use of a machine-trained language model. Upon submission of a query, the technique uses the machine-trained language model to assess at least one intent associated with the query. The technique then invokes an intent-specific processing flow to provide an output result. Each processing flow invokes the use of at least one processing engine to perform an engine-specific task, such as geocoding, route finding, or image retrieval. A processing flow can also call on the machine-trained language model one or more additional times. In some cases, the technique includes a feedback mechanism for soliciting additional information from a user.


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