METHODS AND APPARATUS FOR DYNAMIC CONTENT

• US 20120109741A1
• Filed: 03/24/2011
• Published: 05/03/2012
• Est. Priority Date: 10/28/2010
• Status: Abandoned Application

• Current Assignee: AdOn Network, Inc. (Nexxen International Ltd.)
• Original Assignee: AdOn Network, Inc. (Nexxen International Ltd.)
• Inventors: Ballapragada, Bhaskar S., Mukherjee, Subhransu, Ibershoff, Joseph W., Ainsa, Michael
• Application Number:
  US13/071,208
• Publication Number:
  US 20120109741A1
• Time in Patent Office: Days
• US Class Current: 705/14.43
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Methods and apparatus for dynamic content according to various aspects of the present invention may be implemented in conjunction with a method for displaying an overlay object fixed in position and anchored to at least one side of a content area, sending a request for content to a server, receiving a response from the server, and displaying content in the overlay object according to the response. In one embodiment, the response may be determined according to an optimization algorithm.

Claims

1. A computer-implemented method of displaying content, comprising:

displaying an overlay object fixed to a side of a content area;

sending a request for content to a server;

receiving a response from the server; and

displaying content in the overlay object according to the response.

2. A computer-implemented method according to claim 1, wherein the overlay object is displayed according to a set of downloaded instructions.

3. A computer-implemented method according to claim 2, wherein the set of downloaded instructions are distributed through a custom installation.

4. A computer-implemented method according to claim 2, wherein the set of downloaded instructions are distributed through a third party.

5. A computer-implemented method according to claim 2, wherein the set of downloaded instructions are distributed via at least one of a real-time bidding exchange, a publisher network, and a third-party server.

6. A computer-implemented method according to claim 2, wherein the set of downloaded instructions are distributed through an application installed on a user device.

7. A computer-implemented method according to claim 1, wherein the overlay object is a child of the content area.

8. A computer-implemented method according to claim 1, wherein the content area operates on a networked device.

9. A computer-implemented method according to claim 1, wherein the response comprises advertisement content.

10. A computer-implemented method according to claim 9, wherein the advertisement content comprises at least one of a search bar, a textual advertisement, a graphical advertisement, a rich-media advertisement, a video advertisement, and a lead capture form.

11. A computer-implemented method according to claim 9, wherein the advertisement content is displayed in tandem with an advertisement in the content area.

12. A computer-implemented method according to claim 1, wherein the response comprises a decision to display non-advertisement content.

13. A computer-implemented method according to claim 12, wherein the non-advertisement content comprises at least one of a toolbar, real-time content, a widget, a productivity tool, and an interactivity tool.

14. A computer-implemented method according to claim 1, wherein the response comprises a decision to display no content.

15. A computer-implemented method according to claim 1, wherein the response comprises a decision to display advertisements to retarget a user.

16. A computer-implemented method according to claim 1, wherein the response is determined according to an optimization algorithm.

17. A computer-implemented method according to claim 16, wherein the optimization algorithm predicts future click activity using a feedback mechanism.

18. A computer implemented method according to claim 17, wherein the feedback mechanism comprises at least one of contextual attributes, demographic attributes, geographic attributes, and user-specific attributes.

19. A computer-implemented method according to claim 16, wherein the optimization algorithm predicts future click activity using click-through data.

20. A computer implemented method according to claim 19, wherein the click-through data is summarized based on at least one of contextual, demographic, geographic, and user-specific attributes.

21. A computer implemented method according to claim 16, wherein the optimization algorithm predicts future click activity based on user activity.

22. A computer implemented method according to claim 1, wherein the overlay object comprises a customization feature.

23. A non-transitory medium storing computer-executable instructions, wherein the instructions are configured to cause a computer to:

display an overlay object fixed to a side of a content area;

send a request for content to a server;

receive a response from the server; and

display content in the overlay object according to the response.

24. A non-transitory medium according to claim 23, wherein the computer displays the overlay object according to a set of downloaded instructions.

25. A non-transitory medium according to claim 24, wherein the set of downloaded instructions are distributed through a custom installation.

26. A non-transitory medium according to claim 24, wherein the set of downloaded instructions are distributed through a third party.

27. A non-transitory medium according to claim 24, wherein the set of downloaded instructions are distributed via at least one of a real-time bidding exchange, a publisher network, and a third-party server.

28. A non-transitory medium according to claim 24, wherein the set of downloaded instructions are distributed through an application installed on a user device.

29. A non-transitory medium according to claim 23, wherein the overlay object is a child of the content area.

30. A non-transitory medium according to claim 23, wherein the content area operates on a networked device.

31. A non-transitory medium according to claim 23, wherein the response comprises advertisement content.

32. A non-transitory medium according to claim 31, wherein the advertisement content comprises at least one of a search bar, a textual advertisement, a graphical advertisement, a rich-media advertisement, a video advertisement, and a lead capture form.

33. A non-transitory medium according to claim 31, wherein the advertisement content is displayed in tandem with an advertisement in the content area.

34. A non-transitory medium according to claim 23, wherein the response comprises a decision to display non-advertisement content.

35. A non-transitory medium according to claim 34, wherein the non-advertisement content comprises at least one of a toolbar, real-time content, a widget, a productivity tool, and an interactivity tool.

36. A non-transitory medium according to claim 23, wherein the response comprises a decision to display no content.

37. A non-transitory medium according to claim 23, wherein the response comprises a decision to display advertisements to retarget a user.

38. A non-transitory medium according to claim 23, wherein the response is determined according to an optimization algorithm.

39. A non-transitory medium according to claim 38, wherein the optimization algorithm predicts future click activity using a feedback mechanism.

40. A non-transitory medium according to claim 39, wherein the feedback mechanism comprises at least one of contextual attributes, demographic attributes, geographic attributes, and user-specific attributes.

41. A non-transitory medium according to claim 38, wherein the optimization algorithm predicts future click activity using click-through data.

42. A non-transitory medium according to claim 41, wherein the click-through data is summarized based on at least one of contextual, demographic, geographic, and user-specific attributes.

43. A non-transitory medium according to claim 38, wherein the optimization algorithm predicts future click activity based on user activity.

44. A non-transitory medium according to claim 23, where the object area comprises a customization feature.

45. A computer system configured to display content, comprising:

a processor having access to a network; and

a memory responsive to the processor, wherein the memory stores an optimization program adapted to cause the computer system to;

receive an inventory request, comprising a set of activity data; and

send a response to the inventory request, wherein the response is determined according to the set of activity data.

46. A computer system according to claim 45, wherein the response comprises content to be displayed in an overlay object fixed to a side of a content area.

47. A computer system according to claim 45, wherein the response is determined according to a distribution via at least one of a real-time bidding exchange, a publisher network, and a third-party server.

48. A computer system according to claim 45, wherein the response comprises advertisement content.

49. A computer system according to claim 48, wherein the advertisement content comprises at least one of a search bar, a textual advertisement, a graphical advertisement, a rich-media advertisement, a video advertisement, and a lead capture form.

50. A computer system according to claim 48, wherein the advertisement content is displayed in tandem with a second advertisement.

51. A computer system according to claim 45, wherein the response comprises a decision to display non-advertisement content.

52. A computer system according to claim 51, wherein the non-advertisement content comprises at least one of a toolbar, real-time content, a widget, a productivity tool, and an interactivity tool.

53. A computer system according to claim 45, wherein the response comprises a decision to display no content.

54. A computer system according to claim 45, wherein the response comprises a decision to display advertisements to retarget a user.

55. A computer system according to claim 45, wherein the response is determined according to an optimization algorithm.

56. A computer system according to claim 55, wherein the optimization algorithm predicts future click activity using a feedback mechanism.

57. A computer system according to claim 56, wherein the feedback mechanism comprises at least one of contextual attributes, demographic attributes, geographic attributes, and user-specific attributes.

58. A computer system according to claim 55, wherein the optimization algorithm predicts future click activity using click-through data.

59. A computer system according to claim 58, wherein the click-through data is summarized based on at least one of contextual, demographic, geographic, and user-specific attributes.

60. A computer system according to claim 55, wherein the optimization algorithm predicts future click activity based on user activity.

61. A computer system according to claim 55, where in the optimization algorithm predicts future click activity in real time.

62. A computer system according to claim 45, wherein the set of activity data comprises a history of responses to advertisements.

63. A computer system according to claim 46, where the overlay object comprises a customization feature.