User-Adaptive Recommended Mobile Content

• US 20100169153A1
• Filed: 12/26/2008
• Published: 07/01/2010
• Est. Priority Date: 12/26/2008
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Heron, Alexandra K., Hwacinski, Jaime
• Application Number:
  US12/344,329
• Publication Number:
  US 20100169153A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

Techniques are described to provide user-adaptive recommended mobile content. In an example implementation, one or more user-specific parameters are detected on a mobile device. Examples of user-specific parameters may include user behavior on the mobile device, the location of the user and/or mobile device, the behavior of a user'"'"'s associate as part of a social network, and so on. The user-specific parameters are used to identify recommended content that is relevant to the user-specific parameters, and the user is notified of the recommended content. The recommended content may be accessed via the mobile device.

Claims

1. A method comprising:

receiving user behavior data associated with a user'"'"'s behavior on a mobile device, the user behavior data being automatically detected on the mobile device;

identifying recommended content that correlates to the user behavior data; and

transmitting a notification for receipt by the mobile device, the notification configured to be displayed in a user'"'"'s homepage on the mobile device and enable the user to access the recommended content using one or more features of the notification.

2. A method as described in claim 1, wherein the user behavior data comprises one or more of:

one or more websites to which the user has navigated;

the content of one or more messages sent by the user;

or

search terms provided by the user for conducting a search.

3. A method as recited in claim 1, wherein the notification comprises one or more hyperlinks that are selectable to access one or more instances of the recommended content.

4. A method as recited in claim 1, wherein the notification comprises one or more instances of the recommended content.

5. A method as recited in claim 1, wherein the recommended content comprises an advertisement.

6. A method as recited in claim 1, wherein the recommended content correlates to a particular time-of-day.

7. A method as recited in claim 1, wherein identifying the recommended content comprises identifying recommended content that correlates to a geographic location of the user.

8. A method comprising:

determining a location of a mobile device;

identifying location-relevant recommended content that correlates to both the location of the mobile device and user behavior data associated with a user of the mobile device, the user behavior data describing user interaction with the mobile device; and

transmitting a notification to be received by the mobile device, the notification being configured to enable the user to access the location-relevant recommended content using one or more features of the notification.

9. A method as recited in claim 8, wherein the notification is configured to populate at least part of a homepage on the mobile device.

10. A method as recited in claim 8, wherein the location comprises a geographic location of the mobile device.

11. A method as recited in claim 8, wherein the location-relevant recommended content correlates to a particular time-of-day.

12. A method as described in claim 8, wherein the user behavior data comprises one or more of:

one or more websites that the user navigates to;

the content of one or more emails sent by the user;

or

one or more search terms provided by the user for conducting a search.

13. A method as recited in claim 8, wherein the notification comprises a selectable feature that is selectable to access one or more instances of the location-relevant recommended content.

14. A method as recited in claim 8, wherein the notification comprises one or more instances of the location-relevant recommended content.

15. One or more computer-readable media comprising instructions that are executable to:

gather social network data associated with a user of a mobile device, the social network data being based at least in part on the behavior of one or more user associates that communicate with the user via a social network;

identify recommended content that correlates to the social network data; and

transmit a notification for receipt by the mobile device, the notification including one or more aspects that are selectable to access at least some of the recommended content.

16. One or more computer-readable media as recited in claim 15, wherein the notification is configured to be automatically displayed in a homepage on the mobile device.

17. One or more computer-readable media as recited in claim 15, wherein the social network data comprises one or more of:

one or more websites that a user associate navigates to;

the content of one or more emails sent by the user associate to the user of the mobile device;

or

one or more search terms provided by the user associate for conducting a search.

18. One or more computer-readable media as recited in claim 15, wherein the recommended content is relevant to a particular time-of-day and includes an activity in which the user may participate with one or more of the user associates that communicate with the user via the social network.

19. One or more computer-readable media as recited in claim 15, wherein the recommended content correlates to a location of the user of the mobile device.

20. One or more computer-readable media as recited in claim 15, wherein the notification comprises one or more instances of the recommended content.