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:
Feb. 07, 2023

Filed:

Jun. 26, 2020
Applicants:

Atlassian Pty Ltd., Sydney, AU;

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

Inventors:

Shihab Hassan Hamid, Sydney, AU;

Addo Wondo, Sydney, AU;

Neil Christopher Summers, San Mateo, CA (US);

Joshua Adam Hansen, Sydney, AU;

Geoff Sims, Sydney, AU;

Hao Ye, Sunnyvale, CA (US);

Gaurav Awadhwal, Sydney, AU;

Penyo Atanasov, Sydney, AU;

Ahmed Saad, Sydney, AU;

Alexander McCarthy, Sydney, AU;

Sreeraj Arakkal, Sydney, AU;

Assignees:

ATLASSIAN PTY LTD., Sydney, AU;

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06N 5/04 (2006.01); G06F 16/9038 (2019.01); G06F 16/953 (2019.01); G06N 20/00 (2019.01); G06F 16/903 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/9038 (2019.01); G06F 16/90344 (2019.01); G06F 16/953 (2019.01); G06N 20/00 (2019.01);
Abstract

Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.


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