Apparatuses, computer-implemented methods, and computer program products for managing a feature emphasis interface element

US12380379B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12380379-B2
Application numberUS-202318482510-A
CountryUS
Kind codeB2
Filing dateOct 6, 2023
Priority dateDec 1, 2021
Publication dateAug 5, 2025
Grant dateAug 5, 2025

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Methods, apparatuses, systems, and computer program products are disclosed for managing a feature emphasis interface element. In an example embodiment, an apparatus receives a feature status request, wherein the feature status request comprises a request for a status of one or more features of a system with respect to a particular user. The apparatus further determines a feature emphasis value. For each circumstance wherein the feature emphasis value satisfies a display feature threshold, the apparatus causes rendering of the feature emphasis interface element to a user interface in association with a feature interface representation and for each circumstance wherein the feature emphasis value fails to satisfy the display feature threshold, cause rendering of the feature interface representation to the user interface.

First claim

Opening claim text (preview).

What is claimed is: 1. An apparatus configured to manage a feature emphasis interface element, the apparatus comprising at least one processor and at least one non-transitory memory, the at least one non-transitory memory having computer-coded instructions therein, wherein the computer-coded instructions are configured to, in execution with the at least one processor, cause the apparatus to: receive a feature status request comprising a user identifier and one or more feature identifiers, wherein the feature status request comprises a request for a status of one or more features of a system with respect to a particular user, the one or more features of the system corresponding to the respective one or more feature identifiers and the particular user corresponding to the user identifier; for each feature identifier of the one or more feature identifiers, determine a feature emphasis value based at least in part on a user system initiation timestamp, a current timestamp, and a user feature engagement value; for each circumstance wherein the feature emphasis value satisfies a display feature threshold, cause rendering of the feature emphasis interface element to a user interface associated with the feature status request, wherein the feature emphasis interface element is rendered in association with a feature interface representation corresponding to the feature identifier; and for each circumstance wherein the feature emphasis value fails to satisfy the display feature threshold, cause rendering of the feature interface representation corresponding to the feature identifier to the user interface. 2. The apparatus of claim 1 , wherein the computer-coded instructions are further configured to, in execution with the at least one processor, cause the apparatus to: retrieve feature release data associated with each of the one or more feature identifiers from a feature release data repository. 3. The apparatus of claim 2 , wherein the feature release data comprises a feature release threshold and a feature release expiration threshold for each feature corresponding to the one or more feature identifiers. 4. The apparatus of claim 3 , wherein determining the feature emphasis value for each feature identifier of the one or more feature identifiers comprises: determining whether the user system initiation timestamp satisfies the feature release threshold; determining whether the current timestamp satisfies the feature release expiration threshold; and determining whether the user feature engagement value satisfies a feature engagement threshold. 5. The apparatus of claim 4 , wherein the computer-coded instructions are further configured to, in execution with the at least one processor, cause the apparatus to: prior to determining the feature emphasis value, retrieve user data associated with the user identifier from a user data repository, wherein the user data comprises at least the user system initiation timestamp and the user feature engagement value for each feature identifier of the one or more feature identifiers. 6. The apparatus of claim 4 , wherein the feature emphasis value satisfies the display feature threshold in an instance wherein the user system initiation timestamp satisfies the feature release threshold, the current timestamp satisfies the feature release expiration threshold, and the user feature engagement value satisfies the feature engagement threshold. 7. The apparatus of claim 4 , wherein the feature emphasis value fails to satisfy the display feature threshold in an instance wherein the user system initiation timestamp fails to satisfy the feature release threshold, the current timestamp fails to satisfy the feature release expiration threshold, and/or the user feature engagement value fails to satisfy the feature engagement threshold. 8. The apparatus of claim 4 , wherein the user system initiation timestamp satisfies the feature release threshold in an instance wherein the user system initiation timestamp antedates the feature release threshold. 9. The apparatus of claim 4 , wherein the user system initiation timestamp fails to satisfy the feature release threshold in an instance wherein the user system initiation timestamp postdates the feature release threshold. 10. The apparatus of claim 1 , wherein the computer-coded instructions are further configured to, in execution with the at least one processor, cause the apparatus to: monitor user interaction with the user interface; identify an explicit feature engagement signal, the explicit feature engagement signal comprising a first feature identifier of the one or more feature identifiers; automatically update the user interface to remove the feature emphasis interface element associated with the feature interface representation corresponding to the first feature identifier; and cause storage of an updated user feature engagement value associated with the user identifier and the first feature identifier in a user data repository. 11. The apparatus of claim 10 , wherein identifying the explicit feature engagement signal is triggered by user engagement of the feature emphasis interface element associated with the feature interface representation corresponding to the first feature identifier. 12. The apparatus of claim 10 , wherein identifying the explicit feature engagement signal is triggered by user engagement of the feature interface representation corresponding to the first feature identifier. 13. The apparatus of claim 1 , wherein the display feature threshold is dynamically determined based on a machine learning model, the machine learning model trained using at least historical feature resource data and a plurality of user activity data logs. 14. A computer-implemented method for managing a feature emphasis interface element, the computer-implemented method comprising: receiving a feature status request comprising a user identifier and one or more feature identifiers, wherein the feature status request comprises a request for a status of one or more features of a system with respect to a particular user, the one or more features of the system corresponding to the respective one or more feature identifiers and the particular user corresponding to the user identifier; for each feature identifier of the one or more feature identifiers, determining a feature emphasis value based at least in part on a user system initiation timestamp, a current timestamp, and a user feature engagement value; and for each instance wherein the feature emphasis value satisfies a display feature threshold, rendering the feature emphasis interface element to a user interface in association with a feature interface representation corresponding to the feature identifier. 15. The computer-implemented method of claim 14 , further comprising: for each instance wherein the feature emphasis value fails to satisfy the display feature threshold, rendering the feature interface representation corresponding to the feature identifier to the user interface. 16. The computer-implemented method of claim 14 , further comprising: retrieving feature release data associated with each of the one or more feature identifiers from a feature release data repository. 17. The computer-implemented method of claim 16 , wherein the feature release data comprises a feature release threshold and a feature release expiration threshold for each feature corresponding to the one or more feature identifiers. 18. The computer-implemented method of claim 17 , wherein determining the feature emphasis value for each feature identifier of

Assignees

Inventors

Classifications

  • Interaction with page-structured environments, e.g. book metaphor · CPC title

  • for computer conferences, e.g. chat rooms (instant messaging H04L51/04; protocols for multimedia communication H04L65/1101; arrangements for multi-party communication H04L65/403; telephonic conference arrangements H04M3/56; television conference systems H04N7/15) · CPC title

  • for short real-time information, e.g. alarms, notifications, alerts, updates · CPC title

  • Network arrangements for conference optimisation or adaptation · CPC title

  • Workflow collaboration or project management · CPC title

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What does patent US12380379B2 cover?
Methods, apparatuses, systems, and computer program products are disclosed for managing a feature emphasis interface element. In an example embodiment, an apparatus receives a feature status request, wherein the feature status request comprises a request for a status of one or more features of a system with respect to a particular user. The apparatus further determines a feature emphasis value.…
Who is the assignee on this patent?
Atlassian Pty Ltd, Atlassian Us Inc
What technology area does this patent fall under?
Primary CPC classification G06Q10/06311. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 05 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).