Optimizer For Selecting Supplemental Content Based on Content Productivity of a Document

• US 20070088609A1
• Filed: 11/20/2006
• Published: 04/19/2007
• Est. Priority Date: 10/25/2002
• Status: Abandoned Application

• Current Assignee: HERE Global B.V. (HERE Holding Corporation)
• Original Assignee: Medio Systems, Inc. (HERE Holding Corporation)
• Inventors: Libes, Michael, Nolan, Sean, Reller, William, Crim, John
• Application Number:
  US11/561,832
• Publication Number:
  US 20070088609A1
• Time in Patent Office: Days
• US Class Current: 705/14.710
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0275 Auctions

Abstract

Content is selected for display at a client computer communicating over a computer network by determining a relevance score for content of a document at a server computer for delivery to a requesting client computer, determining at least one valuation for the content from each of two or more supplemental content sources, generating a productivity score for each of the supplemental content sources in accordance with the corresponding content valuation for the supplemental content source, selecting the supplemental content source having the greatest productivity score, and serving the document and supplemental content from the selected supplemental content source for delivery to the requesting client computer.

Claims

1. A method for selecting content for display at a client computer communicating over a computer network, the method comprising:

(a) determining a relevance score for content of a document at a server computer for delivery to a requesting client computer;

(b) determining at least one valuation for the content from each of two or more supplemental content sources;

(c) generating a productivity score for each of the supplemental content sources in accordance with the corresponding content valuation for the supplemental content source;

(d) selecting the supplemental content source having the greatest productivity score;

(e) serving the document and supplemental content from the selected supplemental content source for delivery to the requesting client computer.

2. The method of claim 1, wherein the document comprises a Web page.

3. The method of claim 2, wherein document content comprises keywords of the Web page.

4. The method of claim 2, wherein the valuation comprises keyword bid values from the supplemental content sources.

5. The method of claim 4, wherein the bid values are received from the supplemental content sources in response to a request for bids issued after a request for the Web page from the requesting client computer.

6. The method of claim 2, wherein the supplemental content from the selected supplemental content source comprises advertising content for delivery with the Web page.

7. The method of claim 1, wherein the supplemental content sources comprise sources of Web advertising content.

8. The method of claim 1, wherein selecting the supplemental content source comprises constructing a decision matrix relating to the supplemental content sources and their associated productivity scores.

9. The method of claim 1, wherein selecting the supplemental content source further comprises selecting an advertising type in accordance with the productivity score.

10. The method of claim 1, wherein selecting the supplemental content source further comprises selecting an advertising type in accordance with the relevance score.

11. The method of claim 1, wherein selecting the supplemental content source further comprises selecting an advertising type in accordance with a cost per click value associated with the productivity score.

12. The method of claim 1, wherein the supplemental content source comprises an advertisement inventory.

13. The method of claim 12, wherein the advertisement inventory is stored locally to the server computer.

14. The method of claim 12, wherein the advertisement inventory is accessed through network communications.

15. The method of claim 1, wherein selecting the supplemental content source comprises selecting in accordance with a business rules parameter.

16. The method of claim 15, wherein the business rules parameter comprises a floor price arrangement.

17. The method of claim 1, wherein generating a productivity score is performed by an ad optimizer computer process.

18. The method of claim 17, wherein the ad optimizer computer process operates at the server computer.

19. The method of claim 17, wherein the ad optimizer computer process comprises an Optimizer programmatic agent that generates a request for bid and an Adlet programmatic agent that receives the request for bid and provides a responsive bid relating to at least one supplemental content source.

20. The method of claim 19, wherein the Optimizer programmatic agent receives information for generating a plurality of requests for bids and filters the information according to recipient data to generate a reduced number of requests for bids that are more likely to provoke a responsive bid from the supplemental content source.

21. The method of claim 19, wherein the Optimizer programmatic agent determines the reduced number of requests for bids in accordance with a business rules parameter to identify supplemental content sources that will be the objects of the requests for bids.

22. The method of claim 21, wherein the business rules parameter comprises a floor price arrangement.

23. The method of claim 21, wherein the business rules parameter comprises a location specific arrangement.

24. The method of claim 21, wherein the business rules parameter comprises a type arrangement.

25. The method of claim 21, wherein the business rules parameter comprises a source arrangement.

26. A method of selecting content for display at a client computer communicating over a computer network, the method comprising:

identifying a supplemental content opportunity wherein supplemental content will be served along with a requested document;

generating a request for content bid to an inventory of supplemental content through an ad optimizer computer process;

receiving a bid response relating to the supplemental content at the ad optimizer computer process in response to the request for content bid;

selecting a bid response at the ad optimizer computer process and determining supplemental content for delivery with the requested document.

27. The method of claim 26, further including:

determining a relevance score for content of the requested document at a server computer for delivery to the requesting client computer, determining at least one valuation for the content from each of two or more supplemental content sources, generating a productivity score for each of the supplemental content sources in accordance with the corresponding content valuation for the supplemental content source;

wherein selecting a bid response at the ad optimizer computer process comprises selecting the supplemental content source in accordance with the productivity score.

28. The method of claim 27, wherein the ad optimizer computer process operates at the server computer.

29. The method of claim 27, wherein the ad optimizer computer process comprises an Optimizer programmatic agent that generates a request for bid and an Adlet programmatic agent that receives the request for bid and provides a responsive bid relating to at least one supplemental content source.

30. The method of claim 29, wherein the Optimizer programmatic agent receives information for generating a plurality of requests for bids and filters the information according to recipient data to generate a reduced number of requests for bids that are more likely to provoke a responsive bid from the supplemental content source.

31. The method of claim 29, wherein the Optimizer programmatic agent determines the reduced number of requests for bids in accordance with a business rules parameter to identify supplemental content sources that will be the objects of the requests for bids.

32. The method of claim 31, wherein the business rules parameter comprises a floor price arrangement.

33. The method of claim 31, wherein the business rules parameter comprises a location specific arrangement.

34. The method of claim 31, wherein the business rules parameter comprises a type arrangement.

35. The method of claim 31, wherein the business rules parameter comprises a source arrangement.

36. A computer system that selects content for display at a client computer communicating over a computer network with the computer system, the computer system comprising:

an Optimizer programmatic agent that identifies a supplemental content opportunity wherein supplemental content will be served along with a requested document and generates a request for content bid to an inventory of supplemental content and receives;

an Adlet programmatic agent that provides at least one bid response to the request for content bid, wherein the Optimizer selects a bid response and determines supplemental content for delivery with the requested document.

37. The computer system as in claim 36, wherein:

the Optimizer programmatic agent determines a relevance score for content of the requested document at a server computer for delivery to the requesting client computer, and determines at least one valuation for the content from each of two or more supplemental content sources; and

the Adlet programmatic agent generates a productivity score for each of the supplemental content sources in accordance with the corresponding content valuation for the supplemental content source, wherein the Optimizer programmatic agent selects a bid response for delivery of the corresponding supplemental content.

38. The system of claim 37, further including a server computer from which the requested document is served, and wherein the Adlet computer process operates at the server computer.

39. The system of claim 37, wherein the Optimizer programmatic agent generates a request for bid and the Adlet programmatic agent receives the request for bid and provides a responsive bid relating to at least one supplemental content source.

40. The system of claim 39, wherein the Optimizer programmatic agent receives information for generating a plurality of requests for bids and filters the information according to recipient data to generate a reduced number of requests for bids that are more likely to provoke a responsive bid from the supplemental content source.

41. The system of claim 40, wherein the Optimizer programmatic agent determines the reduced number of requests for bids in accordance with a business rules parameter to identify supplemental content sources that will be the objects of the requests for bids.

42. The system of claim 41, wherein the business rules parameter comprises a floor price arrangement.

43. The system of claim 41, wherein the business rules parameter comprises a location specific arrangement.

44. The system of claim 41, wherein the business rules parameter comprises a type arrangement.

45. The system of claim 41, wherein the business rules parameter comprises a source arrangement.

46. A computer system for selecting supplemental content for display at a client computer communicating over a computer network with the computer system, the computer system comprising:

Optimizer means for identifying a supplemental content opportunity wherein supplemental content will be served along with a requested document and generating a request for content bid to an inventory of supplemental content;

Adlet means for providing a bid response in response to the request for content bid and selects a bid response at the Adlet computer process and determines supplemental content for delivery with the requested document;

delivery means for serving the document from a server computer and serving supplemental content from the selected supplemental content source for delivery to the requesting client computer.

47. The computer system of claim 46, wherein the Adlet means selects the supplemental content by selecting the supplemental content source having the greatest productivity score.

48. The computer system of claim 46, wherein the Optimizer means comprises a computer process that operates at the server computer.

49. The system of claim 48, wherein the Optimizer means comprises a programmatic agent that generates a request for bid and provides the request for bid to the Adlet means, which provides a responsive bid relating to at least one supplemental content source.

50. The system of claim 48, wherein the Optimizer means comprises a programmatic agent that receives information for generating a plurality of requests for bids and filters the information according to recipient data to generate a reduced number of requests for bids that are more likely to provoke a responsive bid from the supplemental content source.

51. The system of claim 48, wherein the Optimizer means comprises a programmatic agent that determines the reduced number of requests for bids in accordance with a business rules parameter to identify supplemental content sources that will be the objects of the requests for bids.

52. The system of claim 51, wherein the business rules parameter comprises a floor price arrangement.

53. The system of claim 51, wherein the business rules parameter comprises a location specific arrangement.

54. The system of claim 51, wherein the business rules parameter comprises a type arrangement.

55. The system of claim 51, wherein the business rules parameter comprises a source arrangement.

56. A computer program product comprising a machine readable storage device containing programming instructions for execution by a computer having a programmable processor to perform a method of selecting content for display at a client computer communicating over a computer network, the programming instructions comprising instructions for:

identifying a supplemental content opportunity wherein supplemental content will be served along with a requested document;

generating a request for content bid to an inventory of supplemental content through an ad optimizer computer process;

receiving a bid response relating to the supplemental content at the ad optimizer computer process in response to the request for content bid;

selecting a bid response at the ad optimizer computer process and determining supplemental content for delivery with the requested document.

57. The computer program product of claim 56, the programming instructions further including instructions for:

determining a relevance score for content of the requested document at a server computer for delivery to the requesting client computer, determining at least one valuation for the content from each of two or more supplemental content sources, generating a productivity score for each of the supplemental content sources in accordance with the corresponding content valuation for the supplemental content source;

wherein selecting a bid response at the ad optimizer computer process comprises selecting the supplemental content source in accordance with the productivity score.

58. The computer program product of claim 57, wherein the ad optimizer computer process operates at a server computer.

59. The computer program product of claim 57, wherein the ad optimizer computer process comprises an Optimizer programmatic agent that generates a request for bid and an Adlet programmatic agent that receives the request for bid and provides a responsive bid relating to at least one supplemental content source.

60. The computer program product of claim 59, wherein the Optimizer programmatic agent receives information for generating a plurality of requests for bids and filters the information according to recipient data to generate a reduced number of requests for bids that are more likely to provoke a responsive bid from the supplemental content source.

61. The computer program product of claim 59, wherein the Optimizer programmatic agent determines the reduced number of requests for bids in accordance with a business rules parameter to identify supplemental content sources that will be the objects of the requests for bids.

62. The computer program product of claim 61, wherein the business rules parameter comprises a floor price arrangement.

63. The computer program product of claim 61, wherein the business rules parameter comprises a location specific arrangement.

64. The computer program product of claim 61, wherein the business rules parameter comprises a type arrangement.

65. The computer program product of claim 61, wherein the business rules parameter comprises a source arrangement.