CONTEXTUAL AND TASK FOCUSED COMPUTING

• US 20120124126A1
• Filed: 11/17/2010
• Published: 05/17/2012
• Est. Priority Date: 11/17/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Alcazar, Mark, MacLaurin, Matthew Bret, Murillo, Oscar E., Vanik, Benjamin William
• Application Number:
  US12/947,833
• Publication Number:
  US 20120124126A1
• Time in Patent Office: Days
• US Class Current: 709/203
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services

Abstract

Concepts and technologies are described herein for contextual and task-focused computing. In accordance with the concepts and technologies disclosed herein, a discovery engine analyzes application data describing applications, recognizes tasks associated with the applications, and stores task data identifying and describing the tasks in a data storage location. The task data is searchable by search engines, indexing and search services, and task engines configured to provide tasks to one or more client devices operating alone or in a synchronized manner, the tasks being provided on demand or based upon activity associated with the one or more client devices. A task engine receives or obtains contextual data describing context associate with the client devices and/or social networking data associated with one or more users of the client devices. Based upon the contextual data and/or the social networking data, the task engine identifies one or more relevant tasks and provides to the client devices information for accessing the relevant tasks, or packaged data corresponding to the relevant tasks.

Claims

1. A computer-implemented method for task-focused computing, the computer-implemented method comprising performing computer-implemented operations for:

obtaining application data, the application data corresponding to an application;

identifying a task associated with the application;

generating task data describing the task associated with the application; and

storing the task data in a searchable format, the task data being stored at a data storage device.

2. The method of claim 1, wherein the task data describes at least one function performed by the application.

3. The method of claim 1, wherein collecting the application data comprises:

discovering, using a discovery engine, the application; and

obtaining the application data from the device hosting the application.

4. The method of claim 1, further comprising:

detecting an interaction at one or more clients;

obtaining contextual data from the one or more clients, the contextual data describing the interaction at the one or more clients;

determining one or more relevant tasks based upon the contextual data, the relevant tasks comprising one or more tasks that are expected to be relevant to the client based upon the interaction detected at the client; and

providing the one or more relevant tasks to the one or more clients for activation by the one or more clients without requiring activating of one or more applications associated with the one or more relevant tasks.

5. The method of claim 1, further comprising:

detecting an interaction at one or more clients;

obtaining social networking data associated with a social networking service;

determining one or more relevant tasks based upon the social networking data; and

providing the one or more relevant tasks to the one or more clients for activation by the one or more clients.

6. The method of claim 1, further comprising:

detecting an interaction at one or more clients;

obtaining social networking data associated with a social networking service;

obtaining contextual data from the one or more clients, the contextual data describing the interaction at the one or more clients; and

determining one or more relevant tasks based upon at least one of the social networking data or the contextual data.

7. The method of claim 6, further comprising determining an advertising scheme for the relevant tasks, the advertising scheme comprising data indicating if advertising should be provided to the one or more clients with the relevant tasks.

8. The method of claim 6, further comprising determining a ranking scheme for the relevant tasks, the ranking scheme comprising an order in which the relevant tasks are presented to the one or more clients.

9. The method of claim 6, further comprising:

determining whether to generate a user interface associated with one or more of the relevant tasks; and

generating the user interface, in response to determining that the user interface should be generated.

10. The method of claim 5, wherein the social networking data describes a social network associated with a user of the client, and wherein the social networking data indicates one or more tasks accessed by a member of the social network.

11. The method of claim 9, further comprising providing at least one of the relevant tasks outside of a dedicated user interface, in response to determining that the user interface should not be generated.

12. The method of claim 8, wherein determining the ranking scheme comprises at least one of:

decreasing the rank of a relevant task selected from the at least one of the relevant tasks based upon usage of the relevant task;

or

increasing the rank of the relevant task based upon the usage of the relevant task.

13. A computer-implemented method for task-focused computing, the computer-implemented method comprising performing computer-implemented operations for:

discovering, at a discovery engine, an application hosted by a server computer;

obtaining application data corresponding to the application, the application data comprising data describing functionality associated with the application;

identifying a task associated with the application, the task corresponding to at least one aspect of the functionality associated with the application;

generating task data describing the task associated with the application;

indexing the task data based upon a category or type of task corresponding to the task; and

storing the task data in a searchable format, the task data being stored at a data storage device.

14. The method of claim 13, further comprising:

detecting an interaction at a client;

obtaining social networking data associated with a social networking service;

obtaining contextual data associated with the client, the contextual data describing the interaction at the client and indicating at least one of a type of activity associated with the interaction or a type of file being accessed at the client; and

determining one or more relevant tasks based upon at least one of the social networking data or the contextual data.

15. The method of claim 14, further comprising:

determining an advertising scheme for the relevant tasks, the advertising scheme indicating if advertising should be provided to the client with the relevant tasks; and

determining a ranking scheme for the relevant tasks, the ranking scheme comprising an order in which the relevant tasks are presented to the client.

16. The method of claim 13, further comprising:

determining whether to generate a user interface associated with one or more of the relevant tasks;

generating the user interface, in response to determining that the user interface should be generated; and

providing at least one of the relevant tasks outside of a dedicated user interface, in response to determining that the user interface should not be generated.

17. The method of claim 14, wherein the social networking data describes a social network associated with a user of the client, and wherein the social networking data indicates one or more tasks accessed by a member of the social network.

18. The method of claim 15, wherein determining the ranking scheme comprises at least one of:

decreasing the rank of a relevant task selected from the at least one of the relevant tasks based upon usage of the relevant task by a member of the social network;

or

increasing the rank of the relevant task based upon the usage of the relevant task by the member of the social network.

19. A computer-readable storage medium having computer readable instructions stored thereupon that, when executed by a computer, cause the computer to:

provide to a task engine data indicating an interaction at a client, the interaction comprising at least one of an activity occurring at the client, a past activity occurring at the client, or a file being used at the client;

expose contextual data to the task engine the contextual data describing the interaction at the client and indicating at least one of a type of activity associated with the interaction or a type of file being accessed by the client; and

receive, from the task engine, data indicating one or more relevant tasks based upon at least one of social networking data or the contextual data, the social networking data being associated with a social networking service, describing a social network associated with a user of the client, and indicating one or more tasks accessed by a member of the social network.

20. The computer-readable storage medium of claim 19, further comprising instructions that, when executed by the computer, cause the computer to:

receive the relevant tasks from the task engine in accordance with an advertising scheme for the relevant tasks and a ranking scheme for the relevant tasks, the advertising scheme being determined by the task engine and indicating if advertising should be provided to the client with the relevant tasks, and the ranking scheme comprising an order in which the relevant tasks are presented to the client;

receiving the relevant tasks with a generated user interface associated with one or more of the relevant tasks in response to a determination by the task engine that the user interface should be generated; and

receiving at least one of the relevant tasks outside of a dedicated user interface, in response to a determination by the task engine that the user interface should not be generated.