Scenario based content delivery
Systems and methods are disclosed for providing pertinent multimedia content to mobile subscribers based on dynamically created profiles. Users are provided information relevant to their interests based on dynamic profiles developed as a result of prior patterns of use, interest and behavior. Such profile generation is automated without need for active user participation in selecting what would be desirable information.
1. A network system comprising:
a profiling engine that
generates a user profile based on usage habits of a user,
matches the user profile to a plurality of user profiles based on common elements of the user profile and the plurality of user profiles,
generates a community profile comprising a compilation of the common elements, and
provides the community profile to a repository; and
the repository, wherein the repository
stores the community profile, and
delivers recommendations to a device associated with the user, the recommendations being derived from the community profile.
2. The network system of claim 1 , further comprising a plurality of servers, and wherein each server of the plurality of servers hosts an application that utilizes the community profile.
3. The network system of claim 2 , wherein the plurality of servers communicate with each other and other network elements via session initiation protocol.
4. The network system of claim 3 , wherein the device comprises a session initiation protocol device.
5. The network system of claim 4 , wherein the profiling engine collects information regarding an interaction between the application and the device.
6. The network system of claim 4 , wherein the profiling engine collects information regarding an interaction with and usage of applications that are hosted on the device.
7. The network system of claim 1 , wherein the profiling engine collects information regarding purchases of multimedia content associated with the user.
8. The network system of claim 7 , wherein the recommendations relate to additional purchases of multimedia content.
9. The network system of claim 7 , wherein the repository comprises logic that enables the user to recommend the purchased multimedia content and the downloaded multimedia content to a plurality of users associated with the community profile.
10. The network system of claim 1 , wherein the repository comprises logic that enables the user to recommend the purchased multimedia content and the downloaded multimedia content to a plurality of users associated with the community profile.
11. The network system of claim 1 , wherein the profiling engine collects information regarding downloads of multimedia content associated with the user.
12. The network system of claim 11 , wherein the recommendations relate to additional downloads of multimedia content.
13. A method comprising:
recording, by a profiling engine, information regarding a usage of a plurality of interactive applications by a mobile subscriber of a plurality of mobile subscribers;
compiling, by the profiling engine, a profile for the mobile subscriber based on the information, the profile being made available to the plurality of interactive applications;
associating, by the profiling engine, the profile with multimedia content;
providing, by the profiling engine, a recommendation to a mobile device associated with the mobile subscriber, the recommendation being to download the multimedia content;
compiling, by the profiling engine, a community profile based on interactions between the plurality of mobile subscribers and the plurality of interactive applications; and
providing, by the profiling engine, an option to the mobile subscriber via the mobile device to share the multimedia content from the mobile device to a further mobile device associated with a further mobile subscriber of the plurality of mobile subscribers associated with the community profile.
14. The method in claim 13 , wherein the plurality of interactive applications is hosted by a plurality of application servers, and wherein the plurality of application servers communicate with a plurality of mobile devices associated with the plurality of mobile subscribers via session initiation protocol, the plurality of mobile devices comprising the mobile device and the further mobile device.
15. A method comprising:
generating, by a profiling engine, a user profile based on usage habits of a user;
matching, by the profiling engine, the user profile to a plurality of user profiles based on common elements of the user profile and the plurality of user profiles;
generating, by the profiling engine, a community profile comprising a compilation of the common elements; and
providing, by the profiling engine, the community profile to a repository so the repository can provide a recommendation to a device associated with the user, the recommendation being derived from the community profile.
16. The method of claim 15 , further comprising collecting, by the profiling engine, information regarding a purchase of multimedia content made by the user.
17. The method of claim 16 , wherein the recommendation relates to an additional purchase of multimedia content.
18. The method of claim 15 , further comprising collecting, by the profiling engine, information regarding a download of multimedia content made by the user.
19. The method of claim 18 , wherein the recommendation relates to an additional download of multimedia content.
20. The method of claim 15 , further comprising collecting, by the profiling engine, information regarding an interaction with and usage of application that are hosted on the device.