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:
Aug. 20, 2024

Filed:

Jan. 31, 2022
Applicant:

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

Inventors:

William Deaderick, Austin, TX (US);

William Stanton, Boulder, CO (US);

Thomas Camp Vieth, Cambridge, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/00 (2006.01); G06F 11/07 (2006.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 16/242 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 11/3075 (2013.01); G06F 11/0781 (2013.01); G06F 11/3409 (2013.01); G06F 11/3447 (2013.01); G06F 11/3452 (2013.01); G06F 16/244 (2019.01); G06F 11/3082 (2013.01); G06N 20/00 (2019.01);
Abstract

A computerized method is disclosed for retraining machine learning models based on user feedback. The method includes receiving user feedback indicating a change is to be made to an assignment of one or more alerts, wherein the one or more alerts were assigned by a machine learning model implementing a distance metric, wherein an issue is a grouping of at least one alert, constructing a convex optimization procedure to minimize an adjustment of weights of the distance metric, retraining the machine learning model by adjusting the weights of the distance metric in accordance with the convex optimization procedure, and evaluating one or more subsequently received alert using the retrained machine learning model. Changes to be made to the assignment include any of merging of two issues, splitting of two issues based on time or an alert field, or reassignment of an alert from a first issue to a second issue.


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