PASSIVE CHECK-IN

• US 20180234793A1
• Filed: 01/09/2018
• Published: 08/16/2018
• Est. Priority Date: 04/15/2013
• Status: Active Grant

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Inventors: Cheung, Dennis, Cox, Greg Alan, Yang, Zhenyin, Young, Dawnray, Vaddi, Viswa, Davis, Todd, Jain, Chintan, Shea, Andrew, Chinnakonda, Rajkumar
• Granted Patent: US 10,462,602 B2
• Time in Patent Office: Days
• CPC Class Codes: G07C 9/28 the pass enabling tracking or indicating presence
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A system to effectuate passive check-in with respect to a user'"'"'s mobile device is described. A server system may be configured to receive communications from a GPS-enabled mobile device (e.g., a mobile phone), extract a stream of locations from the received communications, and use the location information to determine whether a boundary-crossing event has occurred with respect to the mobile device. In response to detecting a boundary-crossing event, the server may communicate a message, such as a recommendation, to the mobile device.

Claims

1. (canceled)

2. A method comprising:

obtaining a location stream corresponding to a mobile device of a user;

determining a boundary crossing of a geo-fence based on comparing data included in the location stream with a database of geo-fence data;

tracking, while the user is within the geo-fence, user behavior based on one or more types of tracking selected from a group of tracking types consisting of;

tracking a period of time during which the user is within the geo-fence based on the location stream;

tracking online user behavior while the user is within the geo-fence based on access by the mobile device of one or more websites during the period of time; and

tracking offline user behavior while the user is within the geo-fence based on offline behavior tracked by online services during the period of time; and

generating a recommendation for the user based on the tracking of the user behavior while the user is within the geo-fence.

3. The method of claim 2, further comprising:

identifying an area within the geo-fence as a type of special location with respect to the user based on the tracking of the user behavior; and

generating the recommendation based on the type of special location.

4. The method of claim 3, further comprising:

determining special location information for the area within the geo-fence based on the identified type of special location; and

generating the recommendation based on the special location information.

5. The method of claim 2, further comprising obtaining the location stream in response to a request from the mobile device.

6. The method of claim 2, further comprising generating the recommendation based on a number of boundary crossings of the geo-fence.

7. The method of claim 2, further comprising generating the recommendation based on a duration of the period of time.

8. The method of claim 2, further comprising generating the recommendation based on a user profile of the user.

9. A system comprising:

one or more processors; and

one or more computer-readable media configured to store instructions that in response to being executed by the one or more processors cause the system to perform operations, the operations comprising;

tracking, in response to a boundary crossing of a geo-fence by a mobile device of a user while the mobile device is within the geo-fence, user behavior based on one or more types of tracking selected from a group of tracking types consisting of;

tracking a period of time during which the user is within the geo-fence;

tracking online user behavior while the user is within the geo-fence; and

tracking offline user behavior while the user is within the geo-fence;

identifying an area within the geo-fence as a type of special location with respect to the user based on the tracking of the user behavior; and

including, in a user profile of the user, special location information that is based on the identified type of special location.

10. The system of claim 9, the operations further comprising:

obtaining a location stream corresponding to the mobile device; and

determining the boundary crossing of the geo-fence based on comparing data included in the location stream with a database of geo-fence data.

11. The system of claim 9, the operations further comprising generating a recommendation for the user based on the special location information included in the user profile.

12. The system of claim 9, the operations further comprising generating a recommendation for the user based on a number of boundary crossings of the geo-fence.

13. The system of claim 9, the operations further comprising generating a recommendation for the user based on a number of boundary crossings of the geo-fence.

14. The system of claim 9, wherein tracking the online user behavior while the user is within the geo-fence is based on access by the mobile device of one or more websites during the period of time.

15. The system of claim 9, wherein tracking the offline user behavior while the user is within the geo-fence is based on offline behavior tracked by online services during the period of time.

16. One or more computer-readable media configured to store instructions that, in response to being executed by one or more processors, cause a system to perform operations, the operations comprising:

tracking, in response to a boundary crossing of a geo-fence by a mobile device of a user while the mobile device is within the geo-fence, user behavior based on one or more types of tracking selected from a group of tracking types consisting of;

tracking a period of time during which the user is within the geo-fence;

tracking online user behavior while the user is within the geo-fence; and

tracking offline user behavior while the user is within the geo-fence; and

generating a recommendation for the user based on the tracking of the user behavior while the user is within the geo-fence.

17. The one or more computer-readable media of claim 16, the operations further comprising:

identifying an area within the geo-fence as a type of special location with respect to the user based on the tracking of the user behavior; and

generating the recommendation based on the type of special location.

18. The one or more computer-readable media of claim 17, the operations further comprising:

determining special location information for the area within the geo-fence based on the identified type of special location; and

generating the recommendation based on the special location information.

19. The one or more computer-readable media of claim 17, the operations further comprising generating the recommendation based on one or more factors selected from a group of factors consisting of:

a number of boundary crossings of the geo-fence;

a duration of the period of time; and

a user profile of the user.

20. The one or more computer-readable media of claim 17, wherein tracking the online user behavior while the user is within the geo-fence is based on access by the mobile device of one or more websites during the period of time.

21. The one or more computer-readable media of claim 17, wherein tracking the offline user behavior while the user is within the geo-fence is based on offline behavior tracked by online services during the period of time.