Method and Apparatus for Targeted Advertisement Delivery

• US 20140095309A1
• Filed: 12/04/2013
• Published: 04/03/2014
• Est. Priority Date: 02/06/2012
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: MacNeille, Perry Robinson, Liu, Yimin, Gusikhin, Oleg Yurievitch, Schunder, Mark
• Application Number:
  US14/096,184
• Publication Number:
  US 20140095309A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0266 based on the position of the vehicle
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

A computer implemented method includes retrieving one or more data elements relating to user shopping habits. The method also includes identifying one or more merchants along a route corresponding to the one or more data elements. The method further includes identifying at least one advertisement for at least one of the one or more merchants. Also, the method includes presenting the advertisement to a vehicle occupant, as a vehicle moves within a perimeter of a merchant for which an advertisement has been identified.

Claims

1. A computer implemented method comprising:

tracking a user'"'"'s progress along a route to determine one or more intermittent stopping locations, where the user stops with the intention of making a purchase;

for each intermittent stopping location, recording stop data; and

aggregating recorded stop data to compile a user profile defining shopping habits of a user when detouring from a route.

2. The method of claim 1, wherein the aggregated recorded data is sorted based on correspondence to local route data.

3. The method of claim 1, wherein the aggregated recorded data is sorted based on correspondence to non-local route data.

4. The method of claim 1, wherein stop data includes at least time of day.

5. The method of claim 1, wherein stop data includes at least distance from the route.

6. The method of claim 1, wherein stop data includes at least duration of time spent at the stopping location.

7. A system comprising:

a processor configured to;

track a user'"'"'s progress along a route to determine one or more intermittent stopping locations, where the user stops with the intention of making a purchase;

for each intermittent stopping location, record stop data; and

aggregate recorded stop data to compile a user profile defining shopping habits of a user when detouring from a route.

8. The system of claim 7, wherein the aggregated recorded data is sorted based on correspondence to local route data.

9. The system of claim 7, wherein the aggregated recorded data is sorted based on correspondence to non-local route data.

10. The system of claim 7, wherein stop data includes at least time of day

11. The system of claim 7, wherein stop data includes at least distance from the route.

12. The system of claim 7, wherein stop data includes at least duration of time spent at the stopping location.

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

tracking a user'"'"'s progress along a route to determine one or more intermittent stopping locations, where the user stops with the intention of making a purchase;

for each intermittent stopping location, recording stop data; and

aggregating recorded stop data to compile a user profile defining shopping habits of a user when detouring from a route.

14. The storage medium of claim 13, wherein the aggregated recorded data is sorted based on correspondence to local route data.

15. The storage medium of claim 13, wherein the aggregated recorded data is sorted based on correspondence to non-local route data.

16. The storage medium of claim 13, wherein stop data includes at least time of day

17. The storage medium of claim 13, wherein stop data includes at least distance from the route.

18. The storage medium of claim 13, wherein stop data includes at least duration of time spent at the stopping location.