Method and system to identify data and content delivery on a cellular network using a social network

• US 10,348,845 B2
• Filed: 04/28/2016
• Issued: 07/09/2019
• Est. Priority Date: 04/28/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bhogal, Kulvir S, Gaur, Nitin
• Primary Examiner(s): Nguyen, Thanh T
• Application Number:
  US15/141,500
• Publication Number:
  US 20170318107A1
• Time in Patent Office: 1,167 Days
• Field of Search: 709224
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/55 Push-based network services

Abstract

An approach is defined to establish consumption analytics of network nodes of a social network. Content is tagged and the content consumption analytics are derived from the content consumption. The content analytics and related heuristic is applied to new content shared in the social network. The content is compared to policies for content push operations and cellular network constraints to determine whether the content is proactively pushed to a mobile device.

Claims

1. A computer program product for delivering content to a mobile device over a cellular network using a social network, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processor to cause the processor to perform a method comprising:

identifying content posted within the social network;

performing an analysis to determine a likelihood of the content being selected based on aggregated consolidated data within the social network corresponding to a social network application on the mobile device, the aggregated consolidated data comprising an association of actions of a user with respect to the social network with relationships of the user with other members of the social network;

comparing the likelihood of the content being selected to a policy stored in a policy database associated with the social network, the policy for identifying possible content to be prefetched;

determining, based on available cellular network resources, whether the cellular network is allowed to deliver the content; and

pulling the content for delivery to the mobile device.

2. The computer program product of claim 1, wherein the program instructions for the performing the analysis include determining a type of the content posted.

3. The computer program product of claim 1, wherein the program instructions further comprise program instructions for declining to pull the content for delivery when the cellular network is determined to not have adequate bandwidth for delivery.

4. The computer program product of claim 3, wherein the program instructions further comprise program instructions for delivering the content when the mobile device is connected to a wireless network.

5. The computer program product of claim 1, wherein the program instructions further comprise program instructions for caching the content into a memory of the mobile device upon delivery via the cellular network.

6. The computer program product of claim 1, wherein the program instructions for comparing the likelihood of the content being selected include comparing the likelihood to a percentage for the content according to the policy.

7. The computer program product of claim 6, wherein the program instructions further comprise program instructions for declining delivery of the content if the likelihood is below the percentage according to the policy.

8. A computer method for delivering content to a mobile device over a cellular network using a social network, the computer method comprising:

identifying content posted within the social network;

performing an analysis to determine a likelihood of the content being selected based on aggregated consolidated data within the social network corresponding to a social network application on the mobile device, the aggregated consolidated data comprising an association of actions of a user with respect to the social network with relationships of the user with other members of the social network;

comparing the likelihood of the content being selected to a policy stored in a policy database associated with the social network, the policy for identifying possible content to be prefetched;

determining, based on available cellular network resources, whether the cellular network is allowed to deliver the content; and

pulling the content for delivery to the mobile device.

9. The method of claim 8, wherein the performing the analysis includes determining a type of the content posted.

10. The method of claim 8, further comprising declining to pull the content for delivery when the cellular network is determined to not have adequate bandwidth for deliver.

11. The method of claim 10, further comprising delivering the content when the mobile device is connected to a wireless network.

12. The method of claim 8, further comprising caching the content into a memory of the mobile device upon delivery via the cellular network.

13. The method of claim 8, wherein the comparing the likelihood of the content being selected includes comparing the likelihood to a percentage for the content according to the policy.

14. The method of claim 13, further comprising declining delivery of the content if the likelihood is below the percentage according to the policy.

15. A computer system for delivering content to a mobile device over a cellular network using a social network, the computer system comprising one or more computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processor to cause the system to perform a method comprising:

identifying content posted within the social network;

performing an analysis to determine a likelihood of the content being selected based on aggregated consolidated data within the social network corresponding to a social network application on the mobile device, the aggregated consolidated data comprising an association of actions of a user with respect to the social network with relationships of the user with other members of the social network;

comparing the likelihood of the content being selected to a policy stored in a policy database associated with the social network, the policy for identifying possible content to be prefetched;

determining, based on available cellular network resources, whether the cellular network is allowed to deliver the content; and

pulling the content for delivery to the mobile device.

16. The computer system of claim 15, wherein the program instructions further comprise program instructions for declining to pull the content for delivery when the cellular network is determined to not have adequate bandwidth for deliver.

17. The computer system of claim 16, wherein the program instructions further comprise program instructions for delivering the content when the mobile device is connected to a wireless network.

18. The computer system of claim 15, wherein the program instructions further comprise program instructions for caching the content into a memory of the mobile device upon delivery via the cellular network.

19. The computer system of claim 15, wherein the program instructions for comparing the likelihood of the content being selected include comparing the likelihood to a percentage for the content according to the policy.

20. The computer system of claim 19, wherein the program instructions further comprise program instructions for declining delivery of the content if the likelihood is below the percentage according to the policy.