Systems and methods for customized delivery of virtually installed applications

• US 9,871,905 B1
• Filed: 08/09/2016
• Issued: 01/16/2018
• Est. Priority Date: 08/09/2016
• Status: Active Grant

• Current Assignee: T-Mobile Innovations LLC (Deutsche Telekom AG)
• Original Assignee: Sprint Communications Company LP (Deutsche Telekom AG)
• Inventors: Habiger, Matthew, Harpole, Jared
• Primary Examiner(s): Dao, Thuy
• Application Number:
  US15/232,569
• Time in Patent Office: 525 Days
• CPC Class Codes: H04L 67/025 for remote control or remote monitoring of applications
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04M 1/72406 by software upgrading or downloading
• CPC Class Codes: H04M 1/72445 for supporting Internet browser applications
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits

Abstract

A method of providing customized delivery of applications to a user equipment (UE) is disclosed. The method comprises installing a plurality of stub application on the UE, presenting the stub applications on the user interface as if each stub application is a full application, and monitoring requests for full applications and time of subsequent installation of full applications initiated by user input. In response to passage of a predefined time period, the method further includes storing a list of recommended full applications, generating an application programming interface call sequence, initiating at least one application programming interface call from the call sequence, receiving the new stub application in response, and supplanting one of the plurality of stub application with the new stub application.

Claims

1. A method of providing customized delivery of applications to a user equipment (UE), the method comprising:

installing, via execution of a client on a processor of the UE from storage in non-transitory memory, a plurality of stub applications on the UE;

presenting, by the client via a display of the UE, the plurality of stub applications on a user interface as if each stub application is a full application;

monitoring, by the client via a communication bus, requests for full applications and time of subsequent installation of full applications initiated by user input via the user interface;

in response to passage of a predefined time period since the monitoring initiates for the first time on the UE;

storing, in the non-transitory memory, a list of recommended full applications that is assembled based on the monitoring,

generating, by the client, an application programming interface (API) call sequence that designates a ranked order with which to call a subset of the recommended full applications from the list,

initiating, by the client, at least one API call from the API call sequence, wherein the at least one API call requests a new stub application corresponding to a recommended full application from the list,

receiving the new stub application in response to the at least one API call, and

supplanting, by the client, one of the plurality of stub applications with the new stub application, wherein the new stub application is virtually represented on the display as the recommended full application without having all functionality of the recommended full application.

2. The method of claim 1, wherein the predefined time period is less than twenty four hours since the monitoring initiates for the first time on the UE.

3. The method of claim 1, further comprising:

monitoring, by the client, requests to launch one of the recommended full applications initiated from user input through the use of any stub application;

relaying, by the client to a server, all requests to launch recommended full applications initiated via one of the plurality of stub applications; and

periodically refreshing, in the non-transitory memory, the list of recommended full applications based on;

requests for full applications that are initiated by user input via the stub applications, and installations of full application independent of stub applications.

4. The method of claim 3, wherein periodically refreshing the list of recommended full applications occurs in response to passage of a second predefined time period since the monitoring initiates for the first time on the UE.

5. The method of claim 1, wherein the list of recommended full applications is assembled by an application executing on a server based on the monitoring by the client on the UE, and wherein the client receives the list of recommended full application from the server.

6. The method of claim 1, wherein the list of recommended full application is assembled without reliance on a user account profile comprising usage data prior to the start of monitoring by the client.

7. The method of claim 6, wherein the usage data comprises information corresponding to at least one of:

application usage history, website visitation history, historical home screen configuration, internet purchases completed using a previous UE, or any combination thereof.

8. A system for providing customized delivery of applications to a user equipment (UE), the system comprising:

a UE comprising;

a display comprising a user interface;

a non-transitory memory storing a plurality of stub applications;

a processor; and

a client application stored in the non-transitory memory that, upon being executed by the processor, configures at least the processor to;

present, via the display, the plurality of stub applications on the user interface as if each stub application is a full application,

monitor requests for full applications and time of subsequent installation of full applications initiated by user input via the user interface,

in response to passage of a predefined time period since the monitoring initiates for the first time on the UE;

store a list of recommended full applications that is assembled based on the monitoring,

generate an application programming interface (API) call sequence that designates a ranked order with which to call a subset of the recommended full applications from the list,

initiate at least one API call from the API call sequence, wherein the at least one API call requests a new stub application corresponding to a recommended full application from the list according to the ranked order,

receive the new stub application in response to the at least one API call, and

supplant one of the plurality of stub applications with the new stub application, wherein the new stub application is virtually represented on the display as the recommended full application without having all functionality of the recommended full application.

9. The system of claim 8, wherein the predefined time period is less than twenty four hours since the monitoring initiates for the first time on the UE.

10. The system of claim 8, wherein the client further configures the processor to:

monitor requests to launch one of the recommended full applications initiated from user input through any stub application,

relay, from the UE to a server, all requests to launch recommended full applications initiated via one of the plurality of stub applications, and

periodically refresh, in the non-transitory memory, the list of recommended full applications based on;

requests for full applications that are initiated by user input via the stub applications, and installations of full applications obtained independent from use of stub applications.

11. The system of claim 10, wherein the periodic refresh of the list of recommended full applications occurs in response to passage of a second predefined time period since the monitoring initiates for the first time on the UE.

12. The system of claim 8, wherein the list of recommended full applications is assembled by an application on a server based on the monitoring by the client on the UE, and wherein the client receives the list of recommended full application from the server.

13. The system of claim 8, wherein the list of recommended full application is assembled without reliance on a user account profile and usage data prior to the start of monitoring by the client.

14. The system of claim 13, wherein the usage data comprises information corresponding to at least one of:

application usage history, website visitation history, historical home screen configuration, internet purchases completed using a previous UE or any combination thereof.

15. A method of providing customized delivery of applications to a user equipment (UE), the method comprising:

installing, via execution of a client on a processor of the UE from storage in non-transitory memory, a plurality of stub applications in non-transitory memory on the UE, wherein the plurality of stub applications are virtually represented on a user interface as if each stub application is a full application;

monitoring, by the client via a communication bus, requests for full applications and time of subsequent installation of full applications initiated by user input via the user interface;

in response to passage of a predefined time period since the monitoring initiates for the first time on the UE;

receiving and storing, by the client, a list of recommended full applications that is assembled based on the monitoring;

detecting, by the client via the user interface, a delete request corresponding to a full application that is being virtually represented on the user interface by one of the plurality of stub applications;

in response to detecting, ceasing, by the client, the virtual representation of the full application by removing the corresponding stub application from the user interface;

initiating, by the client, at least one application programming interface (API) call that requests a new stub application associated with a recommended full application from the list;

receiving, by the client, the new stub application in response to the at least one API call; and

supplanting, by the client on the user interface, the stub application corresponding to the delete request with the new stub application, wherein the new stub application virtually represents the recommended full application on the user interface without having all functionality of the recommended full application.

16. The method of claim 15, wherein the client compiles an API call sequence that designates a ranked order with which to call a subset of the recommended full applications from the list.

17. The method of claim 15, wherein the new stub application has the same memory usage as the supplanted stub application corresponding to the delete request despite the new stub application being associated with the recommended full application.

18. The method of claim 15, wherein ceasing the virtual representation of the full application removes an interactive thumbnail image corresponding to the full application from the user interface but does not remove the corresponding stub application from the non-transitory memory of the UE.

19. The method of claim 15, further comprising:

relaying, by the client to a server, all requests to launch recommended full applications initiated via one of the plurality of stub applications that is virtually represented on the user interface.

20. The method of claim 19, further comprising:

periodically refreshing, in the non-transitory memory, the list of recommended full applications based on;

requests for full applications that are initiated by user input via the stub applications, and installations of full applications independent of stub applications.