System and method for selecting advertising

• US 20070067217A1
• Filed: 09/20/2005
• Published: 03/22/2007
• Est. Priority Date: 09/20/2005
• Status: Abandoned Application

• Current Assignee: Dei.icio.us, Inc., Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: Wenger, Albert, Schachter, Joshua
• Application Number:
  US11/231,337
• Publication Number:
  US 20070067217A1
• Time in Patent Office: Days
• US Class Current: 705/14.660
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

One aspect relates to a system for collecting user classifications of content and using such classifications to match ads to appropriate content. In such a manner, more appropriate associations between ads and content may be made. Such classifications may be collected, for example, using a social bookmarking system.

Claims

1. A method for selecting advertising comprising acts of:

collecting classification data from a plurality of users, wherein at least one portion of the classification data indicates a classification of content;

determining, based on the at least one portion of the classification data, an advertisement; and

associating the advertisement with the content.

2. The method according to claim 1, wherein the act of collecting classification data further comprises an act of collecting one or more tags.

3. The method according to claim 1, wherein the act of collecting the classification data further comprising an act of determining a classification performed through a user action.

4. The method according to claim 3, wherein the act of determining includes determining whether the user associated the content with a particular classification.

5. The method according to claim 2, wherein one or more tags include one or more keywords that describe the content.

6. The method according to claim 2, wherein the act of collecting the one ore more tags further comprises an act of collecting the one or more tags by a collaborative computer system operated by the plurality of users.

7. The method according to claim 1, wherein the content includes a website page and wherein the act of associating includes an act of associating the advertisement with the website page.

8. The method according to claim 1, wherein the advertisement includes data, and the act of associating further comprises an act of associating the data with the content.

9. The method according to claim 5, wherein one or more keywords are derived from at least one of the plurality of users.

10. The method according to claim 5, further comprising an act of inputting the one or more keywords into an ad-matching program.

11. The method according to claim 1, further comprising an act of providing the classification data to an entity to be used to determine the association of the advertisement with the content.

12. The method according to claim 1, wherein the act of collecting classification data is performed by a plurality of computer systems.

13. The method according to claim 1, wherein the classification data is shared among a plurality of computer systems.

14. The method according to claim 1, wherein the content is referenced by reference data, and wherein the act of associating includes an act of associating the advertisement with the reference data.

15. The method according to claim 14, wherein the reference data includes a Uniform Resource Locator (URL).

16. The method according to claim 1, wherein the classification data is shared among a plurality of application programs.

17. The method according to claim 1, wherein the classification data is shared among the plurality of users.

18. A system for selecting advertising, the system comprising:

an ad-matching component adapted to match an advertisement with content;

a classification system adapted to provide classification data collected from a plurality of users, wherein the classification data includes a portion that classifies the content and wherein the ad-matching component is adapted to use the portion to determine the association of the advertisement with the content.

19. The system according to claim 18, wherein the classification system is adapted to collect one or more tags.

20. The system according to claim 19, wherein one or more tags include one or more keywords that describe the content.

21. The system according to claim 19, wherein the classification system further comprises a collaborative computer system operated by the plurality of users.

22. The system according to claim 18, wherein the ad-matching component further comprises means for associating the advertisement with the content.

23. The system according to claim 20, wherein the one or more keywords are derived from at least one of the plurality of users.

24. The system according to claim 18, wherein the plurality of users collectively provide the classification data.

25. The system according to claim 18, wherein the content is referenced by reference data, and wherein the ad-matching component is adapted to associate the advertisement with the reference data.

26. The system according to claim 25, wherein the reference data includes a Uniform Resource Locator (URL).

27. The system according to claim 18, further comprising a plurality of application components that share the classification data.

28. The system according to claim 18, wherein the classification system is adapted to share the classification data among the plurality of users.

29. The system according to claim 18, wherein the classification system is adapted to determine a classification performed through a user action.

30. The system according to claim 29, wherein the classification system is adapted to determine whether the user associated the content with a particular classification.

31. A computer-readable medium having computer program code stored thereon, when executed by one or more computer systems, causes the computer system(s) to perform acts of:

collecting classification data from a plurality of users, wherein at least one portion of the classification data indicates a classification of content;

determining, based on the at least one portion of the classification data, an advertisement; and

associating the advertisement with the content.

32. The computer-readable medium according to claim 31, wherein the act of collecting classification data further comprises an act of collecting one or more tags.

33. The computer-readable medium according to claim 31, wherein the act of collecting the classification data further comprising an act of determining a classification performed through a user action.

34. The computer-readable medium according to claim 33, wherein the act of determining includes determining whether the user associated the content with a particular classification.

35. The computer-readable medium according to claim 32, wherein one or more tags include one or more keywords that describe the content.

36. The computer-readable medium according to claim 32, wherein the act of collecting the one ore more tags further comprises an act of collecting the one or more tags by a collaborative computer system operated by the plurality of users.

37. The computer-readable medium according to claim 31, wherein the content includes a website page and wherein the act of associating includes an act of associating the advertisement with the website page.

38. The computer-readable medium according to claim 31, wherein the advertisement includes data, and the act of associating further comprises an act of associating the data with the content.

39. The computer-readable medium according to claim 33, wherein one or more keywords are derived from at least one of the plurality of users.

40. The computer-readable medium according to claim 33, further comprising an act of inputting the one or more keywords into an ad-matching program.

41. The computer-readable medium according to claim 31, further comprising an act of providing the classification data to an entity to be used to determine the association of the advertisement with the content.

42. The computer-readable medium according to claim 31, wherein the act of collecting classification data is performed by a plurality of computer systems.

43. The computer-readable medium according to claim 31, wherein the classification data is shared among a plurality of computer systems.

44. The computer-readable medium according to claim 31, wherein the content is referenced by reference data, and wherein the act of associating includes an act of associating the advertisement with the reference data.

45. The computer-readable medium according to claim 44, wherein the reference data includes a Uniform Resource Locator (URL).

46. The computer-readable medium according to claim 31, wherein the classification data is shared among a plurality of application programs.

47. The computer-readable medium according to claim 31, wherein the classification data is shared among the plurality of users.