Machine learning method of managing converstations in a messaging interface

• US 10,635,271 B2
• Filed: 10/30/2017
• Issued: 04/28/2020
• Est. Priority Date: 06/27/2016
• Status: Active Grant

• Current Assignee: Atlassian Pty Ltd (d/b/a Confluence) (Atlassian Corporation)
• Original Assignee: Atlassian Pty Ltd (d/b/a Confluence) (Atlassian Corporation)
• Inventors: Mall, Orpheus
• Primary Examiner(s): To, Jennifer N
• Assistant Examiner(s): Burwell, Joseph R.
• Application Number:
  US15/798,277
• Publication Number:
  US 20180046340A1
• Time in Patent Office: 911 Days
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 51/212 using filtering or selective blocking
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method for managing contacts in a messaging application includes displaying, by a client device executing a messaging application, a list of a plurality conversations associated with the client device, determining, by the client device, an amount of time that the messaging application has been in use, displaying, by the client device and based on a rating value, a particular conversation from the list using a different appearance from other conversations of the list, wherein the rating value is based in part on the amount of time.

Claims

1. A method comprising:

displaying, by a client device executing a messaging application, a list of a plurality conversations associated with the client device;

determining, by the client device, an amount of time that the messaging application has been in use according to a configuration;

displaying, by the client device and based on a rating value, a particular conversation in the list using a different appearance from other conversations of the list, wherein the rating value indicates a likelihood to resume the particular conversation and is based in part on the amount of time;

after displaying the particular conversation using the different appearance, receiving, by the client device, input indicating selection of the particular conversation;

in response to the receiving, determining that the rating has not dropped below a threshold, increasing the rating value of the particular conversation, and updating the list to display the particular conversation in the list in a normal appearance.

2. The method of claim 1, further comprising:

displaying, by the client device and based on a second rating value, a second conversation in the list using the different appearance from other conversations of the list;

after displaying the second conversation using the different appearance, when the second rating value drops below the threshold, updating the list that is displayed by removing the second conversation from the list of the plurality of conversations.

3. The method of claim 2, wherein the list of the plurality of conversations is updated in response to the amount of time exceeding a certain threshold.

4. The method of claim 2, wherein the list of the plurality of conversations is updated in response to a time period passing since the particular conversation was displayed using the different appearance.

5. The method of claim 1, wherein the different appearance is a faded appearance.

6. The method of claim 1, wherein the rating value for each of the plurality of conversations is based on a machine learning algorithm trained using historical data from a plurality of messaging applications.

7. The method of claim 6, wherein each of the plurality of messaging applications is associated with a different client device, and wherein the rating value is determined by a server computer.

8. The method of claim 1, wherein the list of the plurality of conversations are displayed according to a ranking of the rating value for each of the plurality of conversations.

9. The method claim of 1, the configuration specifying that the messaging application is in use when the messaging application is running on the client device, the messaging application is in use when the messaging application is opened on the client device, or the messaging application is in use when the messaging application is actively used on the client device.

10. A computer system comprising:

a client device comprising one or more processors and electronic digital memory storing one or more sequences of instructions of a messaging application which, when executed by the one or more processors, cause the one or more processors to perform;

displaying a list of a plurality conversations associated with the client device;

determining an amount of time that the messaging application has been in use according to a configuration;

displaying, based on a rating value, a particular conversation in the list using a different appearance from other conversations of the list, wherein the rating value indicates a likelihood to resume the particular conversation and is based in part on the amount of time;

after displaying the particular conversation using the different appearance, receiving, by the client device, input indicating selection of the particular conversation;

in response to the receiving, determining that the rating has not dropped below a threshold,

increasing the rating value of the particular conversation, and updating the list to display the particular conversation in the list in a normal appearance.

11. The computer system of claim 10, the one or more sequence of instructions when executed further cause the one or more processors to perform:

displaying, by the client device and based on a second rating value, a second conversation in the list using the different appearance from other conversations of the list;

after displaying the second conversation using the different appearance, when the second rating value drops below the threshold, updating the list that is displayed by removing the second conversation from the list of the plurality of conversations.

12. The computer system of claim 11, wherein the list of the plurality of conversations is updated in response to the amount of time exceeding a certain threshold.

13. The computer system of claim 11, wherein the list of the plurality of conversations is updated in response to a time period passing since the particular conversation was displayed using the different appearance.

14. The computer system of claim 11, the one or more sequence of instructions when executed further cause the one or more processors to perform:

prior to removing the particular conversation from the list, receiving, from the client device, input indicating selection of the particular conversation;

in response to the input, increasing the rating value of the particular conversation and updating the list that is displayed to display the particular conversation in the list in a normal appearance.

15. The computer system of claim 10, wherein the different appearance is a faded appearance.

16. The computer system of claim 10, wherein the rating value for each of the plurality of conversations is based on a machine learning algorithm trained using historical data from a plurality of messaging applications.

17. The computer system of claim 16, wherein each of the plurality of messaging applications is associated with a different client device, and wherein the rating value is determined by a server computer.

18. The computer system of claim 10, wherein the list of the plurality of conversations are displayed according to a ranking of the rating value for each of the plurality of conversations.

19. A method comprising:

causing, by a server computer that is hosting a messaging application, displaying a list of a plurality of conversations on a client device executing a second instance of the messaging application;

determining an amount of time that the second instance of the messaging application has been in use by the client device according to a configuration;

determining, by the server computer and based at least in part on the amount of time, a rating value for a conversation of the plurality of conversations, wherein the rating value indicates a likelihood to resume the particular conversation and is based in part on the amount of time;

by the server computer and in response to the rating value meeting a criteria, causing updating the list that is displayed on the client device by removing the conversation from the list of the plurality of conversations that is displayed on the client device.

20. The method of claim 19, wherein the rating is based on a machine learning algorithm trained using historical data from the messaging application.