Method and System for Targeted Advertising

• US 20100293052A1
• Filed: 05/12/2009
• Published: 11/18/2010
• Est. Priority Date: 05/12/2009
• Status: Active Grant

• Current Assignee: PDI Development Co., LLC
• Original Assignee: PDI Development Co., LLC
• Inventors: DiOrio, Peter A., Buckner, Zachary D., Elder, John F. IV
• Granted Patent: US 8,738,433 B2
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 90/00 Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing

Abstract

A method and system of displaying advertisements may include generating a predictive model to predict a type of user, collecting advertisements based upon the type of user, placing the predictive model and collected advertisements on a computer of a user, executing the predictive model on the computer of the user to determine the type of user, and selecting an advertisement to be displayed to the user based upon the execution of the predictive model. The predictive model may be generated based upon feedback from the control users, and the predictive model may be generated based upon the computer of the control users. The predictive model may be generated based upon Web browsing of the computer of the control users, and the predictive model may be generated based upon computer usage behavior of the control users.

Claims

1. ) A method of displaying advertisements, comprising the steps of:

generating a predictive model to predict a type of user;

collecting advertisements based upon the type of user;

placing the predictive model and collected advertisements on a computer of a user;

executing the predictive model on the computer of the user to determine the type of user;

selecting an advertisement to be displayed to the user based upon the execution of the predictive model.

2. ) A method of displaying advertisements as in claim 1 wherein the predictive model is generated based upon feedback from the control users.

3. ) A method of displaying advertisements as in claim 2, wherein the predictive model is generated based upon the computer of the control users.

4. ) A method of displaying advertisements as in claim 3, wherein the predictive model is generated based upon Web browsing of the computer of the control users.

5. ) A method of displaying advertisements as in claim 3, wherein the predictive model is generated based upon computer usage behavior of the control users.

6. ) A method of displaying advertisements as in claim 1, wherein the predictive model generates a keyword.

7. ) A method of displaying advertisements as in claim 6, wherein the keyword is formed in a time weighted list.

8. ) A method of displaying advertisements as in claim 1, wherein the predictive model generates a key phrase.

9. ) A method of displaying advertisements as in claim 8, wherein the key phrase is formed in a time weighted list.

10. ) A system of displaying advertisements, comprising:

a device to generate a predictive model to predict a type of user;

the device collecting advertisements based upon the type of user;

a device for placing the predictive model and collected advertisements on a computer of a user;

the computer of the user executing the predictive model to determine the type of user;

the computer of the user selecting an advertisement to be displayed to the user based upon the execution of the predictive model.

11. ) A system of displaying advertisements as in claim 10 wherein the predictive model is generated based upon feedback from the control users.

12. ) A system of displaying advertisements as in claim 11, wherein the predictive model is generated based upon the computer of the control users.

13. ) A system of displaying advertisements as in claim 12, wherein the predictive model is generated based upon Web browsing of the computer of the control users.

14. ) A system of displaying advertisements as in claim 12, wherein the predictive model is generated based upon computer usage behavior of the control users.

15. ) A system of displaying advertisements as in claim 10, wherein the predictive model generates a keyword.

16. ) A system of displaying advertisements as in claim 15, wherein the keyword is formed in a time weighted list.

17. ) A system of displaying advertisements as in claim 10, wherein the predictive model generates a key phrase.

18. ) A system of displaying advertisements as in claim 17, wherein the key phrase is formed in a time weighted list.