System to associate a demographic to a user of an electronic system

• US 20080091639A1
• Filed: 06/14/2007
• Published: 04/17/2008
• Est. Priority Date: 06/14/2006
• Status: Active Grant

• Current Assignee: Identity Metrics Incorporated
• Original Assignee: Identity Metrics Incorporated
• Inventors: Davis, Charles, Schmidt, Michael, Alward, Herbert
• Granted Patent: US 7,818,290 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

This invention discloses a system for the association of a user of an electronic system with a demographic, wherein a data characteristic of the user is accessed and compared to a wide population probability distribution reference indicative of a demographic associated with the data characteristic, and making a determination of a probability that the user is up to the demographic based on the comparing. Systems may include a method for selecting a more probable data characteristic upon which to associate a user with a demographic, and a data processing apparatus configured with one or more wide population probability distribution references for use on any one of a number of electronic systems.

Claims

1. A method for associating a user of an electronic system with a demographic, comprising:

accessing a data characteristic of a user of an electronic system;

comparing the data characteristic of the user to a wide population probability distribution reference indicative of a demographic associated with the data characteristic; and

determining a probability that the user is of the demographic based on the comparing.

2. A method for associating a user of an electronic system with a demographic as recited in claim 1, and further wherein the data characteristic is a first data characteristic of the user and the demographic is a first demographic, and further:

accessing a second data characteristic of the user;

comparing the second data characteristic of the user to a wide population probability distribution reference indicative of a second demographic associated with the second data characteristic; and

determining a probability that the user is of the second demographic based on the comparing.

3. A method for associating a user of an electronic system with a demographic as recited in claim 1, and further:

comparing the data characteristic of the user to a general wide population probability distribution reference; and

determining a probability that the user is of the demographic based on the comparing of the data characteristic of the user to a wide population probability distribution reference indicative of a demographic associated with the data characteristic, and of the comparing of the data characteristic of the user to a general wide population probability distribution reference.

4. A method for associating a user of an electronic system with a demographic as recited in claim 1, and further wherein the data is one of a keystroke dynamic of the user and an X-Y device use dynamic of the user.

5. A method for associating a user of an electronic system with a demographic as recited in claim 4, and further wherein the X-Y device use dynamic is one of a mouse use dynamic and a touch-pad use dynamic.

6. A method for associating a user of an electronic system with a demographic as recited in claim 1, and further wherein the electronic system is a communications network.

7. A method for associating a user of an electronic system with a demographic as recited in claim 6, and further wherein the communications network is the Internet.

8. A method for associating a user of an electronic system with a demographic as recited in claim 1, and further wherein the probability distribution reference is a probability table.

9. A method for determining a more probable data characteristic to identify a member of a demographic, comprising:

accessing a first wide population probability distribution reference indicative of a demographic associated with a first data characteristic;

accessing a second wide population probability distribution reference indicative of the demographic associated with a second data characteristic;

comparing the first wide population probability distribution reference indicative of the demographic associated with the first data characteristic, to a general wide population probability distribution reference for the first data characteristic;

comparing the second wide population probability distribution reference indicative of the demographic associated with the second data characteristic, to a general wide population probability distribution reference for the second data characteristic; and

determining which of the first data characteristic and the second data characteristic is a more probable identifier of the demographic based on the comparings.

10. A method for determining a more probable data characteristic to identify a member of a demographic as recited in claim 9, and further wherein the first data characteristic is one of a keystroke dynamic of the user and an X-Y device use dynamic of the user.

11. A method for determining a more probable data characteristic to identify a member of a demographic as recited in claim 9, and further wherein the first wide population probability distribution reference and the second wide population probability distribution reference are probability tables.

12. A data processing apparatus to provide associations of a user of an electronic system to at least one demographic, comprising:

a data processor configured to receive a data characteristic indicative of a demographic of a user;

storage circuitry including at least one wide population probability distribution reference indicative of the demographic associated with the data characteristic;

processing circuitry configured to access the data characteristic, and further configured for comparing the data characteristic to the at lease one wide population probability distribution reference; and

determining a probability that the data characteristic is indicative of the demographic based on the comparing.

13. A data processing apparatus to provide associations of a user of an electronic system to at least one demographic as recited in claim 12, and further wherein the at least one wide population probability distribution reference is a probability table.

14. A data processing apparatus to associate a user of an electronic system with a demographic, comprising:

a communication interface;

storage circuitry including at least one wide population probability distribution reference indicative of a demographic associated with a first data characteristic; and

processing circuitry configured to access user data which includes the first data characteristic, and further configured to compare the user data to the at least one wide population probability distribution reference, and determining a probability that the user is of the demographic based on the comparing.

15. A data processing apparatus to associate a user of an electronic system with a demographic as recited in claim 14, and further wherein the at least one wide population probability distribution reference is a probability table.

16. A method of providing a scalable system for associating a user of an electronic system with a demographic, comprising:

providing a wide population probability distribution reference indicative of a demographic associated with a data characteristic in storage circuitry;

accessing the data characteristic of a user of an electronic system;

comparing the data characteristic of the user to the wide population probability distribution reference;

determining a probability that the user is of the demographic based on the comparing; and

integrating updated data into the wide population probability distribution reference without increasing time required for comparing new data characteristics to the wide population probability distribution reference.

17. A method of providing a scalable system for associating a user of an electronic system with a demographic as recited in claim 16, and further wherein the wide population probability distribution reference is a probability table.

18. A method of providing a scalable system for associating a user of an electronic system with a demographic as recited in claim 16, and further wherein the data characteristic is one of a keystroke dynamic of the user and an X-Y device use dynamic of the user.