Intelligent delivery of actionable content

• US 9,619,751 B2
• Filed: 06/27/2014
• Issued: 04/11/2017
• Est. Priority Date: 06/27/2014
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Woon, Clinton Chi-Wen, Lobb, Kenneth Alan, Nuttall, Andrew John, Isgreen, Adam Paul
• Primary Examiner(s): Laneau, Ronald
• Application Number:
  US14/318,175
• Publication Number:
  US 20150379407A1
• Time in Patent Office: 1,019 Days
• Field of Search: 463 40- 42
• CPC Class Codes: A63F 13/35 Details of game servers
• CPC Class Codes: A63F 13/45 Controlling the progress of the video game
• CPC Class Codes: A63F 13/50 Controlling the output signals based on the game progress
• CPC Class Codes: A63F 13/60 Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Technologies are described herein for providing intelligent delivery of actionable content. Metadata that describes user activities at a computer system is analyzed to determine a need for actionable content. Actionable content is dynamically delivered to one or more client consoles when need for actionable content is presented. The actionable content may be presented in a number of forms, including links to, or the delivery of, video, text and/or image content. Actionable content may also include links or deliverable environments for enabling automatic engagement of a specific application scenario. The discovery and delivery of the actionable content may be improved by the use of one or more feedback mechanisms.

Claims

1. A computer-implemented method, the method comprising:

receiving one or more points of input associated with current activity at a computer;

determining a context based on the current activity and additional contextual data;

interpreting the context to determine a need for delivery of additional information;

interpreting the context to determine a type of the delivery of the additional information;

in response to determining the need for the delivery of the additional information, generating actionable content based on the context and the type of the delivery of the additional information; and

providing the actionable content to the computer.

2. The method of claim 1, wherein the one or more points of input comprise a textual blog input, a vocal chat input, or an instant messaging stream input.

3. The method of claim 1, wherein the one or more points of input comprise a pattern of play in a video game.

4. The method of claim 1, wherein providing the actionable content to the computer comprises:

determining if the actionable content is related to a video game based, at least in part, on the type of the delivery of the additional information.

5. The method of claim 4, wherein determining if the actionable content is related to the video game comprises:

interpreting the one or more points of input to identify a particular video game application; and

interpreting the one or more points of input to determine a waypoint in the particular video game application, wherein providing the actionable content to the computer comprises launching the particular video game application at the determined waypoint based on the additional contextual data.

6. The method of claim 1, wherein providing the actionable content to the computer comprises:

determining if the actionable content is a video based on type of the delivery of additional information; and

providing the video to the computer in response to determining that the actionable content is the video.

7. The method of claim 6, wherein determining if the actionable content is the video comprises interpreting the one or more points of input to identify a particular video associated with the context.

8. A computer storage medium having computer-executable instructions stored thereon which, when executed by a computer, cause the computer to perform acts comprising:

collecting information describing current activities at the computer and profile data;

determining a need for presentation of additional information based on the collected information and the profile data;

identifying stored media associated with at least a portion of the current activities in response to determining the need; and

providing a link to the identified stored media, the link facilitating presentation of the identified stored media at the computer from a remote source.

9. The computer storage medium of claim 8, the acts further comprising:

determining if the identified stored media is useful; and

increasing a rank of the identified stored media for subsequent ranking and ordering of the identified stored media in future search results in response to determining the identified stored media is useful.

10. The computer storage medium of claim 8, wherein the collected information comprises metadata describing the current activities.

11. The computer storage medium of claim 10, wherein determining the need for the presentation of the additional information comprises identifying a context of the current activities from the metadata and the profile data.

12. The computer storage medium of claim 11, wherein providing the link to the identified stored media comprises generating actionable content based on the identified context.

13. The computer storage medium of claim 10, wherein identifying the stored media associated with the at least portion of the current activities includes comparing the metadata in the collected information with metadata associated with the stored media.

14. The computer storage medium of claim 13, wherein the identified stored media includes a video game or a video.

15. A system comprising:

one or more processors;

memory storing executable instructions that, when executed by the one or more processors to perform acts comprising;

collecting information from a source of input, the information being related to statistics in a video game,

determining a need for presentation of additional information in response to the collected information,

identifying media associated with at least a portion of the video game based on the statistics in response to determining the need,

providing the identified media for presentation,

determining if the identified media is useful, and

increasing a rank of the identified media for subsequent ranking and ordering of the identified media in response to determining the identified media is useful.

16. The system of claim 15, wherein the collected information is retrieved from a blog, an audio chat, or an instant messaging stream.

17. The system of claim 15, wherein the collected information is retrieved from a pattern of play in the video game.

18. The system of claim 15, wherein determining the need for the additional information comprises interpreting the collected information to identify an area of difficulty in the video game.

19. The system of claim 18, wherein identifying the media associated with the at least portion of the video game includes comparing metadata describing the area of difficulty with metadata associated with video media.

20. The system of claim 19, wherein determining if the identified media is useful comprises determining if the area of difficulty is overcome subsequent to the identified media being presented.