Method of demographically profiling a user of a computer system

• US 20070180469A1
• Filed: 01/29/2007
• Published: 08/02/2007
• Est. Priority Date: 01/27/2006
• Status: Abandoned Application

• Current Assignee: Christopher William Doylend, Gordon Freedman, William Derek Finley
• Original Assignee: Christopher William Doylend, Gordon Freedman, William Derek Finley
• Inventors: Freedman, Gordon, Finley, William Derek, Doylend, Christopher William
• Application Number:
  US11/698,897
• Publication Number:
  US 20070180469A1
• Time in Patent Office: Days
• US Class Current: 725/46
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies

Abstract

A method of demographically profiling a user of a computer system includes providing an aggregated demographic bias associated with a plurality of different items, in dependence upon collected information relating to a plurality of demographically identified users. First information is then received from a demographically anonymous user, the first information being indicative of the demographically anonymous user'"'"'s interest in each one of the plurality of different items. A demographic bias of the demographically anonymous user is estimated as a demographic bias that is statistically similar to the aggregated demographic bias associated with the plurality of different items.

Claims

1. A method of demographically profiling a user of a computer system, comprising:

providing an aggregated demographic bias associated with a plurality of different items in dependence upon collected information relating to a plurality of demographically identified users;

receiving first information from a demographically anonymous user, the first information being indicative of the demographically anonymous user'"'"'s interest in each one of the plurality of different items; and

,

estimating a demographic bias of the demographically anonymous user as a demographic bias that is statistically similar to the aggregated demographic bias associated with the plurality of different items.

2. A method according to claim 1 comprising displaying data relating to a plurality of other items each having associated therewith the estimated demographic bias.

3. A method according to claim 1 comprising displaying data relating to an advertisement based on the demographic group to which the first user is assigned.

4. A method according to claim 1 comprising determining the aggregated demographic bias associated with the plurality of different items in dependence upon collected information relating to a plurality of demographically identified users.

5. A method according to claim 4 comprising displaying data relating to an advertisement based on the demographic group to which the first user is assigned.

6. A method according to claim 4 wherein the aggregated demographic bias is stored within a multi-dimensional data structure.

7. A method according to claim 6 comprising displaying a three-dimensional data visualization structure of the multidimensional data structure.

8. A method according to claim 1 wherein estimating comprises correlating a first three-dimensional data structure based on the first information with template three-dimensional data structures based on the collected information.

9. A method according to claim 2, comprising receiving second information from the demographically anonymous user, the second information indicative of the demographically anonymous user'"'"'s interest in at least some of the plurality of other items.

10. A method according to claim 9, comprising assigning the demographically anonymous user to a demographic group in dependence upon the estimated demographic bias.

11. A method of demographically profiling a user of a computer system, comprising:

receiving first information from a first user, the first user being demographically anonymous and the first information being indicative of the first user'"'"'s interest in each one of a plurality of different items;

providing an aggregated demographic bias associated with the plurality of different items in dependence upon other information, the other information comprising template data relating to a plurality of demographically identified users; and

,

assigning the first user to a demographic group in dependence upon the determined aggregated demographic bias associated with the plurality of different items.

12. A method according to claim 11 comprising displaying data relating to a plurality of other items that are correlated with the demographic group to which the first user is assigned.

13. A method according to claim 11 comprising displaying data relating to an advertisement based on the demographic group to which the first user is assigned.

14. A method according to claim 11 wherein the aggregated demographic bias is stored within a multi-dimensional data structure.

15. A method according to claim 14 comprising displaying a three-dimensional data visualization structure of the multidimensional data structure.

16. A method according to claim 11 wherein assigning comprises correlating a first three-dimensional data structure based on the first information with a template three-dimensional data structures based on the template data relating to the plurality of demographically identified users.

17. A computer-readable storage medium having stored thereon computer-executable instructions for performing a method of demographically profiling a user of a computer system, the method comprising:

providing an aggregated demographic bias associated with a plurality of different items in dependence upon collected information relating to a plurality of demographically identified users;

receiving first information from a demographically anonymous user, the first information being indicative of the demographically anonymous user'"'"'s interest in each one of the plurality of different items; and

,

estimating a demographic bias of the demographically anonymous user as a demographic bias that is statistically similar to the aggregated demographic bias associated with the plurality of different items.