# US 2010/0169153 A1 · User-Adaptive Recommended Mobile Content

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- Number: US 2010/0169153 A1
- Document ID: US20100169153A1
- Status: Published application
- Kind: A1
- Application number: 12/344,329
- Filed: 2008-12-26
- Published: 2010-07-01
- Earliest claimed: 2008-12-26
- Assignees: Microsoft Corporation
- Inventors: Jaime Hwacinski; Alexandra K. Heron
- Web page: https://patentgrep.com/patent/US20100169153A1

## CPC

- G06Q 30/02: Marketing; Price estimation or determination; Fundraising
- G06Q 30/0202: Market predictions or forecasting for commercial activities
- G06Q 30/0261: {based on user location}
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## 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

### Claim 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.

### Claim 2 (depends on 1)

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.

### Claim 3 (depends on 1)

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.

### Claim 4 (depends on 1)

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

### Claim 5 (depends on 1)

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

### Claim 6 (depends on 1)

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

### Claim 7 (depends on 1)

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.

### Claim 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.

### Claim 9 (depends on 8)

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

### Claim 10 (depends on 8)

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

### Claim 11 (depends on 8)

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

### Claim 12 (depends on 8)

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.

### Claim 13 (depends on 8)

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.

### Claim 14 (depends on 8)

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

### Claim 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.

### Claim 16 (depends on 15)

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.

### Claim 17 (depends on 15)

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.

### Claim 18 (depends on 15)

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.

### Claim 19 (depends on 15)

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.

### Claim 20 (depends on 15)

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