METHOD AND APPARATUS FOR GEOLOCATION OF A NETWORK USER

• US 20150082452A1
• Filed: 09/30/2014
• Published: 03/19/2015
• Est. Priority Date: 09/29/2003
• Status: Abandoned Application

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Taylor, Jeffrey William, Li, Tong
• Application Number:
  US14/501,767
• Publication Number:
  US 20150082452A1
• Time in Patent Office: Days
• US Class Current: 726/26
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 21/60 Protecting data
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 61/00 Network arrangements, protocols or services for addressing or naming
• CPC Class Codes: H04L 61/45 Network directories; Name-to-address mapping
• 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 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

A database correlating the geographic locations of users of a network to the network address through which the users access the network is maintained and used to infer the geographic location of other users of the network that access the website through the same IP addresses. An Internet website operator may generate such a database from home or business address information self-reported by users of the website. If a plurality of users that access a website through the same IP address have self-reported information as to their geographic location to a website operator, that information collectively provides information as to the likely geographic location and the geographic diversity of other users that access the network through that IP address. Accordingly, such information is used to infer the extent to which a given IP address is likely to correlate to any particular geographic area and the particular area. Additionally, a website operator that has information indicative of the veracity of the self-reported location information may use that information to rate the likelihood that the self-reported location information for a given user is truthful and then use that rating to provide an even more accurate rating of the likelihood that an inferred location of a user is in a given location.

Claims

1. A geographic location monitoring system, comprising:

a database;

a communications interface that is coupled to a communications network;

a computing resource that is coupled to each of the communications interface and the database, wherein the computing resource is configured to;

receive, from a user device through the communications network via the communications interface, a plurality of different geographic locations that are each associated with a first device identifier for the user device;

store the plurality of geographic locations in the database;

store the first device identifier in the database; and

retrieve the plurality of geographic locations from the database using the first device identifier.

2. The geographic location monitoring system of claim 1, wherein the computing resource is configured to:

determine at least one geographic area for the user device using the plurality of geographic locations retrieved from the database;

store the at least one geographic area in the database; and

retrieve the at least one geographic area using the first device identifier.

3. The geographic location monitoring system of claim 2, wherein the computing resource is configured to:

determine an accuracy rating for each at least one geographic area;

store the accuracy rating for each at least one geographic area in the database; and

retrieve the accuracy rating for each at least one geographic area that is retrieved using the first device identifier.

4. The geographic location monitoring system of claim 2, wherein the at least one geographic area includes a plurality of overlapping geographic areas that are each a different sized area.

5. The geographic location monitoring system of claim 1, wherein the computing resource is configured to:

determine a confidence level for each of the plurality of geographic locations; and

store the confidence level for each of the plurality of geographic locations in association with those plurality of geographic locations in the database.

6. The geographic location monitoring system of claim 1, wherein the computing resource is configured to:

perform a fraud detection action using the plurality of geographic locations retrieved from the database.

7. The geographic location monitoring system of claim 1, wherein the computing resource is configured to:

receive, from the user device through the communications network via the communications interface, at least one geographic location that is associated with a second device identifier for the user device; and

determine that the at least one geographic location that is associated with the second device identifier does not correlate to the second device identifier and, in response, not store the second device identifier and at least one geographic that is associated with the second device identifier in the database.

8. A method for monitoring geographic locations, comprising:

receiving, by a server machine from a client machine through a communications network, a plurality of different geographic locations that are each associated with a client machine identifier for the client machine;

storing, by the server machine in a non-transitory memory system, the plurality of geographic locations;

storing, by the server machine in a non-transitory memory system, the client machine identifier; and

retreiving, by the server machine, the plurality of geographic locations from the non-transitory memory using the client machine identifier.

9. The method of claim 8, further comprising:

determining, by the server machine, at least one geographic area for the client machine using the plurality of geographic locations retrieved from the non-transitory memory;

storing, by the server machine, the at least one geographic area in the non-transitory memory; and

retrieving, by the server machine from the non-transitory memory, the at least one geographic area using the client machine identifier.

10. The method of claim 9, further comprising:

determining, by the server machine, an accuracy rating for each at least one geographic area;

storing, by the server machine in the non-transitory memory, the accuracy rating for each at least one geographic area in the non-transitory memory; and

retrieving, by the server machine from the non-transitory memory, the accuracy rating for each at least one geographic area that is retrieved using the client machine identifier.

11. The method of claim 9, wherein the at least one geographic area includes a plurality of overlapping geographic areas that are each a different sized area.

12. The method of claim 8, further comprising:

determining, by the server machine, a confidence level for each of the plurality of geographic locations; and

storing, by the server machine in the non-transitory memory, the confidence level for each of the plurality of geographic locations in association with those plurality of geographic locations.

13. The method of claim 8, further comprising:

performing, by the server machine, a fraud detection action using the plurality of geographic locations retrieved from the non-transitory memory.

14. A computer-implemented method performed by a computer system having an operatively interconnected processor, memory and communications interface, the method comprising:

receiving, from a user device through a communications network via the communications interface, a plurality of different geographic locations that are each associated with a first device identifier for the user device;

storing the plurality of different geographic locations in the memory of the computer system;

storing the first device identifier in the memory of the computer system; and

operating the processor to retrieve the plurality of geographic locations from the memory of the computer system using the first device identifier.

15. The computer-implemented method of claim 14, the method further comprising:

operating the processor to determine at least one geographic area for the user device using the plurality of geographic locations retrieved from the memory of the computer system;

storing the at least one geographic area in the memory of the computer system; and

operating the processor to use the first device identifier to retrieve the at least one geographic area from the memory of the computer system.

16. The computer-implemented method of claim 15, the method further comprising:

operating the processor to determine an accuracy rating for each at least one geographic area;

storing the accuracy rating for each at least one geographic area in the memory of the computer system; and

operating the processor to retrieve the accuracy rating for each at least one geographic area that is retrieved using the first device identifier.

17. The computer-implemented method of claim 15, wherein the at least one geographic area includes a plurality of overlapping geographic areas that are each a different sized area.

18. The computer-implemented method of claim 14, the method further comprising:

operating the processor to determine a confidence level for each of the plurality of geographic locations; and

storing the confidence level for each of the plurality of geographic locations in association with those plurality of geographic locations in the memory of the computer system.

19. The computer-implemented method of claim 14, the method further comprising:

operating the processor to perform a fraud detection action using the plurality of geographic locations retrieved from the memory of the computer system.

20. The computer-implemented method of claim 14, the method further comprising:

receiving, from the user device through the communications network via the communications interface, at least one geographic location that is associated with a second device identifier for the user device; and

operating the processor to determine that the at least one geographic location that is associated with the second device identifier does not correlate to the second device identifier and, in response, not storing the second device identifier and at least one geographic that is associated with the second device identifier in the memory of the computer system.