MOBILE DEVICE RECOMMENDATIONS

• US 20110289015A1
• Filed: 05/21/2010
• Published: 11/24/2011
• Est. Priority Date: 05/21/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Mei, Tao, Hua, Xian-Sheng, Li, Shipeng, Xu, Ying-Qing
• Application Number:
  US12/784,728
• Publication Number:
  US 20110289015A1
• Time in Patent Office: Days
• US Class Current: 705/347
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

Users may browse web pages, interact with a plethora of applications, search for new content, and perform a wide variety of other tasks using a mobile device. Unfortunately, useful content may be difficult for a user to locate because of the large amount of content available (e.g. hundreds of thousands of applications within an application store). Accordingly, one or more systems and/or techniques for determining recommendations are disclosed herein. In particular, user input (e.g., text, numbers, etc.) and/or a user profile (e.g., contextual information relating to a user) may be used to determine a user intent. Recommendations may be determined based upon the user intent. For example, a user may input “I am hungry” using a mobile phone having a GPS location of Downtown and a noon timestamp. Using this information, an application allowing the user to make lunch reservations at local restaurants may be provided as a recommendation.

Claims

1. A method for determining a recommendation based upon user input on a mobile device, comprising:

receiving user input on a mobile device;

determining a user intent based upon the user input; and

determining a recommendation based upon the user intent, the recommendation comprising at least one of an agent service, a third party application, and a search engine query.

2. The method of claim 1, comprising:

presenting the recommendation on the mobile device.

3. The method of claim 1, the receiving user input comprising:

receiving user input comprising at least one of;

keypad input and voice input.

4. The method of claim 1, the determining a user intent comprising:

determining a user profile; and

determining the user intent based upon the user input and the user profile.

5. The method of claim 4, the determining a user profile comprising:

determining a GPS location of the user based upon GPS data of the mobile device; and

utilizing the GPS location as the user profile.

6. The method of claim 4, the determining a user profile comprising:

determining calendar data of the user based upon a calendar of the mobile device; and

utilizing the calendar data as the user profile.

7. The method of claim 4, the determining a user profile comprising:

determining file data of the user based upon files associate with the mobile device, the file data comprising at least one of a file history, contacts, images, music, data files, previous call data, and previous search data; and

utilizing the file data as the user profile.

8. The method of claim 1, the determining a recommendation comprising:

matching the user intent with one or more third party applications; and

providing access to the one or more third party applications.

9. The method of claim 1, the determining a recommendation comprising:

matching the user intent with an agent service; and

providing access to the agent service.

10. The method of claim 1, the determining a recommendation comprising:

determining the user intent does not match at least one of an agent service and a third party application; and

providing a search engine query corresponding to the user intent.

11. The method of claim 4, comprising:

updating the user profile based upon user interaction with the recommendation.

12. A system for determining a recommendation based upon user input on a mobile device comprising:

an intent component configured to;

receive user input on a mobile device; and

determine a user intent based upon the user input; and

a recommendation component configured to;

determine a recommendation based upon the user intent, the recommendation comprising at least one of an agent service, a third party application, and a search engine query.

13. The system of claim 12, comprising:

a presentation component configured to;

present the recommendation on the mobile device.

14. The system of claim 12, the intent component configured to:

determine a user profile; and

determine the user intent based upon the user input and the user profile.

15. The system of claim 14, the user profile comprising at least one of:

a GPS location of the user;

calendar data of the user;

a current time associated with the user; and

file data of the user, the file data comprising at least one of a file history, contacts, images, music, data files, previous call data, an previous search data.

16. The system of claim 14, comprising:

a direct access component configured to;

receive a numerical reference as user input; and

provide direct access to a target website matching the numerical reference.

17. The system of claim 12, the recommendation component configured to:

match the user intent with one or more third party applications within an index of third party applications; and

provide access to the one or more third party applications.

18. The system of claim 12, the recommendation component configured to:

match the user intent with an agent service within an index of agent services; and

provide access to the agent service.

19. The system of claim 12, the recommendation component configured to:

determine the user intent does not match at least one of an agent service and a third party application; and

provide a search engine query corresponding to the user intent.

20. A system for presenting a recommendation on a mobile device comprising:

an intent component configured to;

determine a user profile from at least one of a GPS location of a user, a current time associate with the user, calendar data of the user, and file data of the user;

a recommendation component configured to;

determine a recommendation based upon the user profile, the recommendation comprising at least one of an agent service, a third party application, and a search engine query; and

a presentation component configured to;

present the recommendation on a mobile device associated with the user profile.