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:
Oct. 31, 2023

Filed:

Jan. 14, 2019
Applicant:

Autodesk, Inc., San Francisco, CA (US);

Inventors:

Tovi Grossman, Toronto, CA;

Benjamin Lafreniere, Toronto, CA;

Xu Wang, Pittsburgh, PA (US);

Assignee:

AUTODESK, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/01 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06F 16/2457 (2019.01); G06F 9/451 (2018.01); G06F 9/48 (2006.01); G06F 11/34 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/453 (2018.02); G06F 9/4806 (2013.01); G06F 9/4881 (2013.01); G06F 11/3452 (2013.01); G06F 16/24578 (2019.01); G06F 17/18 (2013.01); G06N 5/04 (2013.01); G06N 7/01 (2023.01);
Abstract

In various embodiments, a task-based recommendation subsystem automatically recommends workflows for software-based tasks based on a trained machine-learning model that maps different sets of commands to different distributions of weights applied to a set of tasks. In operation, the task-based recommendation subsystem applies a first set of commands associated with a target user to the trained machine-learning model to determine a target distribution of weights applied to the set of tasks. The task-based recommendation subsystem then performs processing operation(s) based on at least two different distributions of weights applied to the set of tasks and the target distribution to determine a training item. Subsequently, the task-based recommendation subsystem generates a recommendation that specifies the training item. Finally, the task-based recommendation subsystem transmits the recommendation to a user to assist the user in performing a particular task.


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