IP Library Patent Application 12344329
Patent Application
App. No. 12/344,329

User-Adaptive Recommended Mobile Content

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Quick Facts
Patent No.
US None
App. No.
12/344,329
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 (38)

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.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 15, 2015
From: MICROSOFT CORPORATION
To: MICROSOFT TECHNOLOGY LICENSING, LLC
Reel/Frame 034766/0509 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 13, 2009
From: HWACINSKI, JAIME; HERON, ALEXANDRA K.
To: MICROSOFT CORPORATION
Reel/Frame 022388/0283 →