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:
Nov. 24, 2020

Filed:

Jul. 20, 2018
Applicant:

Aiqudo, Inc., San Jose, CA (US);

Inventors:

Mark Robinson, Union City, CA (US);

Michael Lai, Sunnyvale, CA (US);

Assignee:

Aiqudo, Inc., Campbell, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G10L 15/06 (2013.01); G10L 15/183 (2013.01); G10L 15/01 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/183 (2013.01); G10L 15/01 (2013.01); G10L 2015/0631 (2013.01);
Abstract

Embodiments described herein are generally directed towards systems and methods relating to a crowd-sourced digital assistant system and related methods. In particular, embodiments facilitate techniques to crowdsource the training of a language model of the crowd-sourced digital assistant system. The digital assistant device can generate new action datasets based on manual inputs detected by the digital assistant device. The manual inputs can be recorded as a set of instructions, which can be interpreted by another digital assistant device to reproduce the detected manual inputs based on a command received by the other digital assistant device. The digital assistant server can receive action datasets, maintain action datasets, and distribute action datasets to one or more digital assistant devices. In various embodiments, the digital assistant device or server can also determine whether received action datasets are related. Each digital assistant device in the described system can participate in the training of a language model that establishes relationships between action datasets and/or command templates based on user feedback received via the digital assistant device.


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