SYSTEMS AND METHODS TO PROVIDE RECOMMENDATIONS

• US 20140172572A1
• Filed: 12/19/2012
• Published: 06/19/2014
• Est. Priority Date: 12/19/2012
• Status: Abandoned Application

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Akin, Jeremiah Joseph
• Application Number:
  US13/720,406
• Publication Number:
  US 20140172572A1
• Time in Patent Office: Days
• US Class Current: 705/14.58
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

Methods and systems relating to providing a recommendation on a client device are described. In some embodiments, data from a sensor included in the client device is received. The sensor is configured to obtain data corresponding to a location and a direction of the client device. User movement information is determined based on the data from the sensor. A recommendation is identified based on the user movement information. The recommendation is sent to the client device.

Claims

1. A system for providing a recommendation to a client device comprising:

a hardware-implemented user movement module configured to;

receive sensor data from a sensor on the client device, the sensor data indicating a location and a direction of the client device;

determine user movement information based on the sensor data; and

a hardware-implemented recommendation module configured to identify the recommendation based on the user movement information and send the recommendation to the client device.

2. The system of claim 1, wherein the sensor is a GPS sensor.

3. The system of claim 1, wherein the sensor is a compass sensor.

4. The system of claim 1, wherein the recommendation module is configured to send the recommendation to the client device based on a user preference.

5. The system of claim 1, wherein the recommendation is associated with a business.

6. The system of claim 1, wherein the recommendation includes information associated with at least one of a gas station, a restaurant, a hotel, and a tourist attraction.

7. The system of claim 1, wherein the user movement information includes a particular geographic region associated with the location of the client device.

8. The system of claim 1, wherein the recommendation module is configured to obtain information from at least one of a website, a database, and an application server, the recommendation being based on the information.

9. A method for providing a recommendation to a client device based on user movement, the method comprising:

receiving sensor data from a sensor on the client device, the sensor data indicating a location and a direction of the client device;

determining user movement information based on the sensor data;

identifying the recommendation based on the user movement information;

sending the recommendation to the client device.

10. The method of claim 9, wherein determining the user movement information includes determining a length of time associated with the user movement information.

11. The method of claim 9, further comprising:

identifying a predicted route of the user using the user movement information, wherein identifying the recommendation includes determining one or more entities associated with the predicted route.

12. The method of claim 9, wherein determining the user movement information includes determining a particular geographic region associated with the location of the client device.

13. The method of claim 12, wherein the recommendation is specific to the particular geographic region.

14. The method of claim 12, wherein determining of the user movement information includes determining that the user has been in the particular geographic region for a predetermined amount of time and wherein the recommendation is associated with the particular geographic region.

15. The method of claim 9, further comprising:

receiving updated sensor data;

detecting a change in the user movement information based on the updated sensor data; and

identifying a second recommendation based on the change in the user movement information.

16. A non-transitory machine-readable storage medium comprising a set of instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising:

receiving sensor data from a sensor on a client device, the sensor data indicating a location and a direction of the client device;

determining user movement information based on the sensor data;

identifying a recommendation based on the user movement information; and

sending the recommendation to the client device.

17. The non-transitory machine-readable medium of claim 16, wherein the recommendation includes information associated with at least one of a gas station, a restaurant, a hotel, and a tourist attraction.

18. The non-transitory machine-readable medium of claim 16, wherein identifying the recommendation includes obtaining information from at least one of a website, a database, and an application server, the recommendation being based on the information.

19. The non-transitory machine-readable medium of claim 16, wherein determining of the user movement information includes determining that the user has been in the particular geographic region for a predetermined amount of time and wherein the recommendation is associated with the particular geographic region.

20. The non-transitory machine-readable medium of claim 16, wherein the set of instructions cause the one or more processors to perform further operations comprising:

identifying a predicted route of the user using the user movement information, wherein identifying the recommendation includes determining one or more entities associated with the predicted route.