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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.

Patent No.:

US 10963492 B1

PDFFull Text
Date of Patent:
Mar. 30, 2021

Filed:

Jun. 14, 2018

Generation of domain-specific models in networked system

Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Saptarshi Bhattacharya, Seattle, WA (US);

Zachariah Phillips, Seattle, WA (US);

Shreedhar Madhavapeddi, Mountain View, CA (US);

David Maymudes, Seattle, WA (US);

Vivek Rao, Redmond, WA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:

Foley & Lardner LLP

Primary Examiner:

Pavan Mamillapalli

Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 7/00 (2006.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06N 5/02 (2006.01); G10L 15/22 (2006.01); G06F 40/40 (2020.01); G06F 40/205 (2020.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
G06F 16/3329 (2019.01); G06F 16/288 (2019.01); G06F 16/3334 (2019.01); G06F 16/9024 (2019.01); G06F 40/205 (2020.01); G06F 40/40 (2020.01); G06N 5/02 (2013.01); G10L 15/22 (2013.01); G06F 3/04842 (2013.01); G10L 2015/223 (2013.01);
Abstract

The present disclosure is generally directed to the generation of domain-specific, voice-activated systems in interconnected networks. The system can receive input signals that are detected at a client device. The input signals can be voice-based input signals, text-based input signals, image-based input signals, or other type of input signals. Based on the input signals, the system can select domain-specific knowledge graphs and generate responses based on the selected knowledge graph.

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