Method and Apparatus for Targeted Advertisement Delivery

• US 20130204699A1
• Filed: 02/06/2012
• Published: 08/08/2013
• 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:
  US13/366,426
• Publication Number:
  US 20130204699A1
• 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:

retrieving one or more data elements relating to user shopping habits;

identifying at least one area along the route as an area where a stop is likely;

identifying one or more merchants along a route corresponding to the one or more data elements, and within a proximity to the area(s) where a stop is likely;

identifying at least one advertisement for at least one of the one or more merchants; and

as a vehicle moves within a perimeter of a merchant for which an advertisement has been identified, presenting the advertisement to a vehicle occupant.

2. The method of claim 1, further comprising classifying a route to be traveled.

3. The method of claim 2, wherein the route is classified as a long distance route.

4. The method of claim 3, wherein the data elements relate to user shopping habits during long trips.

5. The method of claim 2, wherein the route is classified as a local route.

6. The method of claim 5, wherein the data elements relate to user shopping habits during local trips.

7. The method of claim 1, wherein the perimeter is based on at least one data element relating to user shopping habits.

8. The method of claim 1, wherein the proximity within which merchants are identified varies based on a projected reason for the likely stop.

9. The method of claim 8, wherein a plurality of areas are identified, at least two of the areas having stopping reasons associated therewith, different from each other.

10. The method of claim 9, wherein a stopping reason relates to refueling.

11. The method of claim 9, wherein a stopping reason relates to eating.

12. The method of claim 9, wherein a stopping reason relates to resting.

13. The method of claim 9, wherein a stopping reason relates to shopping.

14. The method of claim 9, wherein a perimeter associated with each area varies in size based on a stopping reason associated with the area.

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

retrieving one or more data elements relating to user shopping habits;

identifying one or more merchants along a route corresponding to the one or more data elements;

identifying at least one advertisement for at least one of the one or more merchants; and

as a vehicle moves within a perimeter of a merchant for which an advertisement has been identified, presenting the advertisement to a vehicle occupant.

16. The machine readable storage medium of claim 15, further comprising classifying a route to be traveled.

17. The machine readable storage medium of claim 15, wherein the perimeter is based on at least one data element relating to user shopping habits.

18. The machine readable storage medium of claim 15, further comprising:

identifying at least one area along the route as an area where a stop is likely, and wherein the identifying at least one merchant is limited to identifying merchants within the identified at least one area(s).

19. The machine readable storage medium of claim 18, wherein a plurality of areas are identified, at least two of the areas having stopping reasons associated therewith, different from each other.

20. A computer implemented method comprising:

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

for each intermittent stopping location, recording data including at least time of day, distance from the route, and duration of time spent at the stopping location; and

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