METHOD AND APPARATUS FOR GEOLOCATION OF A NETWORK USER

• US 20150088654A1
• Filed: 09/30/2014
• Published: 03/26/2015
• 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:
  US14/501,914
• Publication Number:
  US 20150088654A1
• Time in Patent Office: Days
• US Class Current: 705/14.58
• 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 determination 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, geographic locations that are each associated with the same communications network identifier;

store the geographic locations in the database;

store the communications network identifier in the database;

correlate the stored geographic locations with the stored communications network identifier to generate predictive data identifying a predicted geographic location for the communications network identifier based on the stored geographic locations; and

store the predictive data in the database.

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

provide the predicted graphic location in response to receiving a communications network identifier that matches the stored communications network identifier.

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

retrieve and provide a geographically targeted advertisement using the predicted geographic location in response to receiving the communications network identifier that matches the stored communications network identifier.

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

determine a rating of the likelihood that the predicted geographic location of the communications network identifier accurately reflects an actual geographic location of a user accessing the communications network.

5. The geographic location determination system of claim 1, wherein the geographic locations received from the user device are reported by a user of the user device.

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

determine an integrity rating of the user; and

determine the likelihood that the predicted geographic location of the communications network identifier accurately reflects an actual geographic location of the user using the integrity rating.

7. The geographic location determination system of claim 1, wherein the predictive data estimates a size of the geographic location.

8. A method for determining a geographic location, comprising:

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

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

storing, by the server machine in a non-transitory memory system, the communications network identifier;

correlating, by the server machine, the stored geographic locations with the stored communications network identifier to generate predictive data identifying a predicted geographic location for the communications network identifier based on the stored geographic locations; and

storing, by the server machine in a non-transitory memory system, the predictive data.

9. The method of claim 8, further comprising:

providing, by the server machine, the predicted graphic location in response to receiving a communications network identifier that matches the stored communications network identifier.

10. The method of claim 8, further comprising:

retrieving and providing, by the server machine using the predictive geographic location, a geographically targeted advertisement in response to receiving the communications network identifier that matches the stored communications network identifier.

11. The method of claim 8, further comprising:

determining, by the server machine, a rating of the likelihood that the predicted geographic location of the communications network identifier accurately reflects an actual geographic location of a user accessing the communications network.

12. The method of claim 8, wherein the geographic locations received from the client machine are reported by a user of the client machine, and the method further comprises:

determining, by the server machine, an integrity rating of the user; and

determining, by the server machine using the integrity rating, the likelihood that the predicted geographic location of the communications network identifier accurately reflects an actual geographic location of the user.

13. The method of claim 8, wherein the predictive data estimates a size of the geographic location.

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, geographic locations that are each associated with the same communications network identifier;

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

storing the communications network identifier in the memory of the computer system;

operating the processor of the computer system to correlate the stored geographic locations with the stored communications network identifier to generate predictive data identifying a predicted geographic location for the communications network identifier based on the stored geographic locations; and

storing the predictive data in the memory.

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

operating the processor to provide the predicted graphic location in response to receiving a communications network identifier that matches the stored communications network identifier.

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

operating the processor to retrieve and provide a geographically targeted advertisement to using the predictive geographic location in response to receiving the communications network identifier that matches the stored communications network identifier.

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

operating the processor to determine a rating of the likelihood that the predicted geographic location of the communications network identifier accurately reflects an actual geographic location of a user accessing the communications network.

18. The computer-implemented method of claim 14, wherein the geographic locations received from the user device are reported by a user of the user device.

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

operating the processor to determine an integrity rating of the user; and

operating the processor to determine the likelihood that the predicted geographic location of the communications network identifier accurately reflects an actual geographic location of the user using the integrity rating.

20. The computer-implemented method of claim 14, wherein the predictive data estimates a size of the geographic location.