SYSTEM AND METHOD OF PERFORMING LOCATION ANALYTICS

• US 20150304807A1
• Filed: 01/13/2015
• Published: 10/22/2015
• Est. Priority Date: 06/06/2008
• Status: Active Grant

• Current Assignee: Verve Group, Inc. (Samarion SE)
• Original Assignee: YellowPages.com LLC (Mudrick Capital Management LP)
• Inventors: Skibiski, Greg, Lemke, Christine, Loecher, Markus, Rao, Girish, Uechi, Jason, Shaw, Blake, Mattiello, Joseph, Pentland, Alex Sandy, Jabara, Tony
• Granted Patent: US 9,571,962 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3476 using point of interest [POI] information, e.g. a route passing visible POIs
• CPC Class Codes: G01C 21/3641 Personalized guidance, e.g. limited guidance on previously travelled routes
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G01C 21/3682 output of POI information on a road map G01C21/3614, G01C21/3685 take precedence
• CPC Class Codes: G06F 15/16 Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs coordinating program control therefor G06F9/52; in regulating and control system G05B
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 3/00 Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G08G 1/0969 having a display in the form of a map
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04M 11/04 with alarm systems, e.g. fire, police or burglar alarm systems
• CPC Class Codes: H04N 21/4524 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; systems specially adapted for using geographical information in broadcast systems H04H60/70; protocols in which the network application is adapted for the location of the user terminal in communication control or processing H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enable device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place.

Claims

1. (canceled)

2. A method comprising:

processing a first transmission received by a server system, the first transmission identifying a first location of a data source, wherein the data source is identified by a unique identifier;

storing a historical record for the unique identifier in a data store of the server system, the historical record comprising location data based at least in part on past locations associated with the unique identifier;

associating individualized location data with the historical record for the unique identifier stored in the data store so that the location data is based at least in part on the individualized location data, the individualized location data corresponding to the first location of the data source;

matching by the server system demographic information associated with a demographic profile retrieved from the data store with at least a portion of the location data of the historical record, and based at least in part on the matching, identifying a tribe of users to associate with the unique identifier, the users sharing at least one common attribute, and storing an assignment in the data store of the unique identifier to the tribe;

processing a second transmission received by the server system, the second transmission identifying a second location of the data source;

accessing a record retained by the server system for one or more other unique identifiers assigned to the tribe;

performing by the server system analytics that include deriving a recommendation of an item based at least in part on the record for the one or more other unique identifiers assigned to the tribe and based at least in part on second location data corresponding to the second location of the data source; and

transmitting by the server system a third transmission to a user device associated with the unique identifier, the third transmission to facilitate indication of the recommendation.

3. The method of claim 2, wherein the matching the demographic information associated with the demographic profile is based at least in part on inferring that the demographic information for an area including the first location applies to the unique identifier.

4. The method of claim 2, wherein the user device comprises a computer, a cellular telephone, an automated teller-machine, a radio-frequency enabled device, a global positioning system enabled device, and/or a navigational device.

5. The method of claim 2, wherein the user device includes the data source.

6. The method of claim 2, wherein the user device is different from the data source.

7. The method of claim 2, wherein:

the historical record further comprises time data based at least in part on the past locations associated with the unique identifier;

the associating individualized location data with the historical record for the unique identifier comprises associating individualized time data so that the time data is based at least in part on the individualized time data, the individualized time data corresponding to the first location of the data source;

the matching by the server system the demographic information associated with the demographic profile comprises matching the demographic information with at least a portion of the time data of the historical record; and

the deriving the recommendation is based at least in part on second time data corresponding to the second location of the data source.

8. The method of claim 2, wherein the recommendation of the item indicates one or more of a retail location, a service, an organization, an event, a person, and/or another tribe.

9. A system comprising:

a server system comprising one or more servers communicatively coupled to a network interface to facilitate access to a network, the server system comprising a data store communicatively coupled to the one or more servers, the one or more servers to;

process a first transmission received by a server system, the first transmission identifying a first location of a data source, wherein the data source is identified by a unique identifier;

store a historical record for the unique identifier in the data store, the historical record comprising location data based at least in part on past locations associated with the unique identifier;

associate individualized location data with the historical record for the unique identifier stored in the data store so that the location data is based at least in part on the individualized location data, the individualized location data corresponding to the first location of the data source;

match demographic information associated with a demographic profile retrieved from the data store with at least a portion of the location data of the historical record, and based at least in part on the matching, identify a tribe of users to associate with the unique identifier, the users sharing at least one common attribute, and storing an assignment in the data store of the unique identifier to the tribe;

process a second transmission received by the server system, the second transmission identifying a second location of the data source;

access a record retained by the server system for one or more other unique identifiers assigned to the tribe;

perform analytics that include deriving a recommendation of an item based at least in part on the record for the one or more other unique identifiers assigned to the tribe and based at least in part on second location data corresponding to the second location of the data source; and

transmit a third transmission to a user device associated with the unique identifier, the third transmission to facilitate indication of the recommendation.

10. The system of claim 9, wherein the matching the demographic information associated with the demographic profile is based at least in part on inferring that the demographic information for an area including the first location applies to the unique identifier.

11. The system of claim 9, wherein the user device comprises a computer, a cellular telephone, an automated teller-machine, a radio-frequency enabled device, a global positioning system enabled device, and/or a navigational device.

12. The system of claim 9, wherein the user device includes the data source.

13. The system of claim 9, wherein the user device is different from the data source.

14. The system of claim 9, wherein:

the historical record further comprises time data based at least in part on the past locations associated with the unique identifier;

the associating individualized location data with the historical record for the unique identifier comprises associating individualized time data so that the time data is based at least in part on the individualized time data, the individualized time data corresponding to the first location of the data source;

the matching by the server system the demographic information associated with the demographic profile comprises matching the demographic information with at least a portion of the time data of the historical record; and

the deriving the recommendation is based at least in part on second time data corresponding to the second location of the data source.

15. The system of claim 9, the recommendation of the item indicates one or more of a retail location, a service, an organization, an event, a person, and/or another tribe.

16. One or more non-transitory, processor-readable media having processor-readable instructions thereon which, when executed by one or more computers or other processing devices of a server system, cause the server system to:

process a first transmission received by a server system, the first transmission identifying a first location of a data source, wherein the data source is identified by a unique identifier;

store a historical record for the unique identifier in the data store, the historical record comprising location data based at least in part on past locations associated with the unique identifier;

associate individualized location data with the historical record for the unique identifier stored in the data store so that the location data is based at least in part on the individualized location data, the individualized location data corresponding to the first location of the data source;

match demographic information associated with a demographic profile retrieved from the data store with at least a portion of the location data of the historical record, and based at least in part on the matching, identify a tribe of users to associate with the unique identifier, the users sharing at least one common attribute, and storing an assignment in the data store of the unique identifier to the tribe;

process a second transmission received by the server system, the second transmission identifying a second location of the data source;

access a record retained by the server system for one or more other unique identifiers assigned to the tribe;

perform analytics that include deriving a recommendation of an item based at least in part on the record for the one or more other unique identifiers assigned to the tribe and based at least in part on second location data corresponding to the second location of the data source; and

transmit a third transmission to a user device associated with the unique identifier, the third transmission to facilitate indication of the recommendation.

17. The one or more non-transitory, processor-readable media of claim 16, wherein the matching the demographic information associated with the demographic profile is based at least in part on inferring that the demographic information for an area including the first location applies to the unique identifier.

18. The one or more non-transitory, processor-readable media of claim 16, wherein the user device comprises a computer, a cellular telephone, an automated teller-machine, a radio-frequency enabled device, a global positioning system enabled device, and/or a navigational device.

19. The one or more non-transitory, processor-readable media of claim 16, wherein the user device is different from the data source.

20. The one or more non-transitory, processor-readable media of claim 16, wherein the user device is different from the data source.

21. The one or more non-transitory, processor-readable media of claim 16, wherein:

the historical record further comprises time data based at least in part on the past locations associated with the unique identifier;

the associating individualized location data with the historical record for the unique identifier comprises associating individualized time data so that the time data is based at least in part on the individualized time data, the individualized time data corresponding to the first location of the data source;

the matching by the server system the demographic information associated with the demographic profile comprises matching the demographic information with at least a portion of the time data of the historical record; and

the deriving the recommendation is based at least in part on second time data corresponding to the second location of the data source.