Transportation-aware physical advertising conversions

• US 8,630,897 B1
• Filed: 01/11/2011
• Issued: 01/14/2014
• Est. Priority Date: 01/11/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Prada Gomez, Luis Ricardo, Szybalski, Andrew Timothy, Thrun, Sebastian, Nemec, Philip, Urmson, Christopher Paul
• Primary Examiner(s): Weiss, John G
• Assistant Examiner(s): SUMMERS, KIERSTEN V
• Application Number:
  US13/004,514
• Time in Patent Office: 1,099 Days
• Field of Search: 705/14.57, 705/14.58, 705/14.62, 705/14.71, 705/14.66, 705/14.45, 705/14.5, 705/14.51, 705/14.56, 705/14.11, 705/14.19
• US Class Current: 705/14.11
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06Q 10/06313 Resource planning in a project environment
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0275 Auctions
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching

Abstract

The present invention relates generally to arranging for free or discounted transportation to an advertiser'"'"'s business location. More specifically, the invention involves automatically comparing the cost of transportation and the potential profit from a completed transaction using a number of real-time calculations. For example, the calculation may consider various factors including a consumer'"'"'s current location, the consumer'"'"'s most likely route and form of transportation (such as train, personal car, taxi, rental car, or shared vehicle), the consumer'"'"'s daily agenda, the price competing advertisers are willing to pay for the customer to be delivered to alternate locations, and other costs. In this regard, the customer'"'"'s obstacles to entering a business location are reduced while routing and cost calculations are automatically handled based on the demand for the advertiser'"'"'s goods and potential profit margins.

Claims

1. A computer-implemented method of providing advertisements, the method comprising:

receiving, by a processor, geographic location information associated with a client device and information identifying a particular user;

accessing user data for a plurality of users;

identifying the user data associated with the particular user including information provided by the particular user for receiving advertisements;

accessing a plurality of target customer profiles each associated with at least one requirement and an advertisement, each advertisement being associated with a business location and a bid value;

identifying an advertisement based on whether the user data associated with the identified advertisement satisfies the at least one requirement associated with each of the plurality of target customer profiles;

identifying transportation options for transporting the particular user from a current location based on the received geographic location information to the business location associated with the identified advertisement;

for each of the identified transportation options, determining, by the processor, a cost value based on a cost of a fare to transport the particular user from the current location to the business location associated with the identified advertisement;

selecting one of the identified transportation options based on the bid value associated with the identified advertisement and the determined cost values; and

determining whether the bid value associated with the identified advertisement is greater than the determined cost value for the selected transportation option;

when the bid value associated with the identified advertisement is greater than the determined cost value for the selected transportation option, transmitting the identified advertisement and the selected transportation option to the client device for display.

2. The method of claim 1, further comprising:

receiving, from the client device, a request for the selected transportation option; and

arranging the selected transportation option.

3. The method of claim 1, wherein the selected transportation option is an autonomous vehicle.

4. The method of claim 1, wherein the selected transportation option is a taxi service.

5. The method of claim 1, wherein the user data associated with the particular user includes user preference information indicating a particular transportation option and wherein identifying the one or more transportation options is based on the user preference.

6. The method of claim 1, wherein the identified advertisement is associated with a particular product or service offered by a business at the business location, and wherein selecting the one of the identified transportation options is further based on a cost to the business for providing the particular product or service.

7. The method of claim 1, further comprising receiving, by the processor, a number of additional passengers associated with the particular user and wherein identifying the identified advertisement is further based on the number of additional passengers.

8. The method of claim 1, further comprising receiving, by the processor, a number of additional passengers associated with the particular user and wherein identifying the transportation options is further based on the number of additional passengers.

9. The method of claim 1, further comprising:

receiving, by the processor, a number of additional passengers associated with the particular user; and

determining the cost values based on the number of additional passengers.

10. The method of claim 1, wherein selecting the selected transportation option is further based on at least one factor selected from the group consisting of available transit options, travel time, and weather conditions.

11. The method of claim 1, further comprising, prior to transmitting the identified advertisement, conducting an auction to select the identified advertisement for transmission.

12. A computer comprising:

memory storing a plurality of target customer profiles each associated with at least one requirement and an advertisement, each advertisement being associated with a business location and a bid value, the memory also storing user data for a plurality of users;

a processor coupled to the memory, the processor being operable to;

receive a geographic location information associated with a client device and information identifying a particular user;

access the user data;

identify the user data associated with the particular user including information provided by the particular user for receiving advertisements;

access the stored plurality of target customer profiles;

identify an advertisement based on whether the user data associated with the identified advertisement satisfies the at least one requirement associated with each of the plurality of target customer profiles;

identify transportation options for transporting the particular user from a current location based on the received geographic location information to the business location associated with the identified advertisement;

for each identified transportation option, determine a cost value based on a cost of a fare to transport the particular user from the current location to the business location associated with the identified advertisement;

select one of the identified transportation options based on the bid value associated with the identified advertisement and the determined cost values; and

determine whether the bid value associated with the identified advertisement is greater than the determined cost value for the selected transportation option;

when the bid value associated with the identified advertisement is greater than the determined cost value for the selected transportation option, transmit the identified advertisement and the selected transportation option to the client device for display.

13. The computer of claim 12, wherein the processor is further operable to:

receive, from the client device, a request for the selected transportation option; and

arrange the selected transportation option.

14. The computer of claim 12, wherein the selected transportation option is an autonomous vehicle.

15. The computer of claim 12, wherein the selected transportation option is a taxi service.

16. The computer of claim 12, wherein the user data associated with the particular user includes user preference information indicating a particular transportation option and wherein identifying the one or more transportation options is based on the user preference.

17. The computer of claim 12, wherein the identified advertisement is associated with a particular product or service offered by a business at the business location, and wherein the processor is further operable to select the one of the identified transportation options further based on a cost to the business for providing the particular product or service.

18. The computer of claim 12, wherein the processor is further operable to:

receive a number of additional passengers associated with the particular user; and

identify the one or more transportation options based on the number of additional passengers.

19. The computer of claim 12, wherein the processor is further configured to select the selected transportation option further based on at least one factor selected from the group consisting of available transit options, travel time, and weather conditions.

20. The computer of claim 12, wherein the processor is further configured to, prior to transmitting the identified advertisement, conduct an auction to select the identified advertisement for transmission.

21. A computer comprising:

a display; and

a processor coupled to the display, the processor being operable to;

identify a geographic location information associated with the computer and information identifying a particular user;

access user data for a plurality of users;

identify the user data associated with the particular user including information provided by the particular user for receiving advertisements;

access a plurality of target customer profiles each associated with at least one requirement and an advertisement, each advertisement being associated with a business location and a bid value;

identify an advertisement based on whether the user data associated with the particular user satisfies the at least one requirement associated with each of the plurality of target customer profiles;

identify transportation options for transporting the particular user from a current location based on the received geographic location information to the business location associated with the identified advertisement;

for each identified transportation option, determine a cost value based on a fare to transport the particular user from the current location to the business location associated with the identified advertisement;

select one of the identified transportation options based on the bid value associated with the identified advertisement and the determined cost values;

determine whether the bid value associated with the identified advertisement is greater than the determined cost value for the selected transportation option; and

when the bid value associated with the identified advertisement is greater than the determined cost value for the selected transportation option, display the identified advertisement and the selected transportation option on the display.

22. The computer of claim 21, wherein the processor is further operable to:

receive a request for the selected transportation option; and

arrange the selected transportation option.

23. The computer of claim 22, wherein the user data for a plurality of users and the plurality of target customer profiles are stored in memory at a second computer;

and wherein the processor is further operable to access the user data and the plurality of target customer profiles by transmitting one or more requests over a network to the second computer.

24. The computer of claim 21, wherein the particular user'"'"'s user data identifies a number of passengers and the processor is further operable to identify the one or more transportation options based on the number of passengers associated with the particular user'"'"'s user data.

25. The computer of claim 21, wherein the at least one requirement associated with the target customer profile of the identified advertisement includes a minimum number of passengers requirement and the processor is further operable to:

receive a total number of passengers from the particular user; and

wherein, the processor identifies the identified advertisement further based on whether the received total number of passengers meets the minimum number of passengers requirement.

26. The computer of claim 21, wherein the at least one requirement associated with the target customer profile of the identified advertisement includes a maximum number of passengers requirement, and the processor is further operable to:

receive a total number of passengers from the particular user; and

wherein, the processor identifies the identified advertisement further based on whether the total number of passengers meets the maximum number of passengers requirement.

27. The computer of claim 21, wherein the processor is further configured to select the selected transportation option further based on at least one factor selected from the group consisting of available transit options, travel time, and weather conditions.