System and method for context based user intent sensing and content or application delivery on mobile devices

• US 20130178241A1
• Filed: 10/30/2012
• Published: 07/11/2013
• Est. Priority Date: 10/31/2011
• Status: Abandoned Application

• Current Assignee: Insett
• Original Assignee: Insett
• Inventors: Tatavarty, Venkata Ratnam, Duggirala, Veerabhadra Manoj
• Application Number:
  US13/663,476
• Publication Number:
  US 20130178241A1
• Time in Patent Office: Days
• US Class Current: 455/550.1
• CPC Class Codes: H04W 4/60 Subscription-based services using application servers or record carriers, e.g. SIM application toolkits

Abstract

The embodiments of the present system includes a mobile device with a native or installed mobile application that communicates with a cloud platform for context based content delivery to the mobile terminal device. The mobile cloud platform includes a mobile cloud virtualization layer, a mobile cloud content delivery layer and a mobile cloud network layer. The mobile cloud virtualization layer functions as a storage and process center. It allocates resources for native applications and other user information storage, content storage for static services, content storage for dynamic services and runs application processes for mobile users independent of the mobile platform. The mobile cloud content delivery layer runs a context-adaptive engine that delivers service provider content to a mobile platform based on space-time context of the user. The mobile cloud network layer forms dynamic local networks as well as high frequency usage networks with other mobile terminal devices based on the user analytical data.

Claims

1. A mobile device with a native or installed mobile application that communicates with a cloud platform for context based content delivery to the mobile terminal device.

a. The mobile cloud platform described in claim 1, which includes,

b. a mobile cloud virtualization layer,

c. a mobile cloud content delivery layer and

d. a mobile cloud network layer.

2. The mobile cloud platform described in claim 1, which includes a

a. mobile cloud virtualization layer functions as a storage and process center. It allocates resources for native applications and other user information storage, content storage for static services, content storage for dynamic services and runs application processes for mobile users independent of the mobile platform.

b. The mobile cloud content delivery layer runs a context-adaptive engine that delivers service provider content to a mobile platform based on space-time context of the user.

c. The mobile cloud network layer forms dynamic local networks as well as high frequency usage networks with other mobile terminal devices based on the user analytical data.

3. A mobile application layer on a device, which does all or some of the following:

a. Gather contextual information from device using device sensors and user generated data,

b. Processes the data on the server;

invokes appropriate service on the device

4. A mobile application layer, which ranks users intentions on a value scale and recommends appropriate service/product to the user based on contextual sensing

5. A mobile software which streams an application from the server and performs some or all of these:

a. Pre-initializing all the devices'"'"' hardware resources required by the streamed app (gathered during analysis of the Apps'"'"' catalog),

b. Setting up local memory locations on device to store Apps'"'"' entities like images, presentation layout configurations, audio/video content.

c. Initializing software interfaces to enable the received app to use/fetch/invoke other software components/Apps available on the device that are provided outside of software on the device (main app).

d. Securing the received App from other software/hardware components on the device.

e. Protect and isolate execution of the received app within the security configurations/permissions granted to software on the device (main app).

f. Monitor actions performed by the streamed App entities.

6. A mobile software which gathers contextual user information and recommends appropriate service or application to user