Method and Apparatus for Advertisement Screening

• US 20140207563A1
• Filed: 01/18/2013
• Published: 07/24/2014
• Est. Priority Date: 01/18/2013
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Liu, Yimin, MacNeille, Perry Robinson, Gusikhin, Oleg Yurievitch
• Application Number:
  US13/744,659
• Publication Number:
  US 20140207563A1
• Time in Patent Office: Days
• US Class Current: 705/14.43
• CPC Class Codes: G06Q 30/0244 Optimization

Abstract

A system includes a processor configured to initiate a new user-model for advertising evaluation based on a user request. The processor is also configured to add basic user demographic information to the model. The processor is further configured to update the model based on user responses to advertisements presented during a drive in which the model is in use and utilize the model to filter or select advertisements in drives having some correspondence to identifying traits associated with the model.

Claims

1. A system comprising:

a processor configured to;

initiate a new user-model for advertising evaluation based on a user request;

add basic user demographic information to the model;

update the model based on user responses to advertisements presented during a drive in which the model is in use; and

utilize the model to filter or select advertisements in drives having some correspondence to identifying traits associated with the model.

2. The system of claim 1, wherein the processor is further configured to query a user to obtain the basic user demographic information.

3. The system of claim 1, wherein the processor is further configured to obtain the basic user demographic information from previously stored user demographic information.

4. The system of claim 1, wherein the updating includes increasing or decreasing a user-desirability characteristic of an advertisement category based on respective positive or negative user response.

5. The system of claim 1, wherein the identifying traits include a specified destination.

6. The system of claim 1, wherein the identifying traits include a time of day.

7. The system of claim 1, wherein the identifying traits include a day of week.

8. A computer-implemented method comprising:

initiating a new user-model for advertising evaluation based on a user request;

adding basic user demographic information to the model;

updating the model based on user responses to advertisements presented during a drive in which the model is in use; and

utilizing the model to filter or select advertisements in drives having some correspondence to identifying traits associated with the model.

9. The method of claim 8, further including querying a user to obtain the basic user demographic information.

10. The method of claim 8, further including obtaining the basic user demographic information from previously stored user demographic information.

11. The method of claim 8, wherein the updating includes increasing or decreasing a user-desirability characteristic of an advertisement category based on respective positive or negative user response.

12. The method of claim 8, wherein the identifying traits include a specified destination.

13. The method of claim 8, wherein the identifying traits include a time of day.

14. The method of claim 8, wherein the identifying traits include a day of week.

17. The storage medium of claim 8, wherein the method further includes obtaining the basic user demographic information from previously stored user demographic information.

18. The storage medium of claim 8, wherein the identifying traits include a specified destination.

19. The storage medium of claim 8, wherein the identifying traits include a time of day.

20. The storage medium of claim 8, wherein the identifying traits include a day of week.

15. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform a method comprising:

initiating a new user-model for advertising evaluation based on a user request;

adding basic user demographic information to the model;

updating the model based on user responses to advertisements presented during a drive in which the model is in use; and

utilizing the model to filter or select advertisements in drives having some correspondence to identifying traits associated with the model.

16. The storage medium of claim 15, wherein the method further includes querying a user to obtain the basic user demographic information.