Method for gauging user intention to review/replay the contents of a web page

• US 20020175936A1
• Filed: 05/07/2002
• Published: 11/28/2002
• Est. Priority Date: 05/08/2001
• Status: Abandoned Application

• Current Assignee: Samuel Sergio Tenembaum
• Original Assignee: Samuel Sergio Tenembaum
• Inventors: Tenembaum, Samuel Sergio
• Application Number:
  US10/139,286
• Publication Number:
  US 20020175936A1
• Time in Patent Office: Days
• US Class Current: 715/738
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

The present invention consists of a method applicable to determine whether a person surfing the web and who has been subjected to a certain content is trying to see it again.

This information is valuable to a number of professional players, such as advertising agencies, advertisers, sites, marketers and researchers attempting to understand the behavior of users surfing the web. Moreover, conclusions secured from this information can be integrated into metrics utilized to measure the success of advertising and marketing initiatives only.

Claims

1. A method for determining a user'"'"'s intent to refresh or reload the contents of a web page being viewed on the display screen of a computer system, the computer system running a web browser program under an operating system having a graphical user interface, the method comprising the steps of, searching the logs of a content server, identifying unique users in such log, identifying occurrences in which the unique user views a same web page consecutively within a preset time frame.

2. A method according to claim 1, in wherein the logs belong to a party other than the one serving the content.

3. A method according to claim 1, in wherein the logs belong to an ad server party.

4. A method according to claim 1, in wherein the time frame is set dynamically based on the time spent by the average user while engaged in interacting with the current content or various other online activities.

5. A method according to claim 1, in wherein the time frame is pre set.

6. A method according to claim 1, in wherein the URL of the pages viewed by such user are utilized to determine the number of times a page is viewed.

7. A method according to claim 1, in wherein the URL of the page being viewed, as well as the URL of the page referring to the one being viewed are utilized to determine the number of times a page is viewed.

8. A method for determining a user'"'"'s intent to view or review an advertisement being viewed on the display screen of a computer system, the computer system running the a web browser program under an operating system having a graphical user interface, the method comprising the steps of, searching the logs of a content server, identifying unique users in such log, identifying occurrences in which the unique user views a same web page consecutively within a preset time frame.

9. A method according to claim 8, in wherein the logs belong to a party other than the one serving the content.

10. A method according to claim 8, in wherein the logs belong to an ad server party.

11. A method according to claim 8, in wherein the time frame is set dynamically based on the time spent by the average user while engaged in interacting with the current content or various other online activities.

12. A method according to claim 8, in wherein the time frame is pre set.

13. A method according to claim 8, in wherein the URL of the pages viewed by such user are utilized to determine the number of times a user attempted to view an advertisement.

14. A method according to claim 8, in wherein the URL of the page being viewed, as well as the URL of the page referring to the one being viewed are utilized to determine the number of times a user attempted to view an advertisement.

16. A method according to claim 15, in wherein the logs belong to a party other than the one serving the content.

17. A method according to claim 15, in wherein the logs belong to an ad server party.

18. A method according to claim 15, in wherein the time frame is set dynamically based on the time spent by the average user while engaged in interacting with the current content or various other online activities.

19. A method according to claim 15, in wherein the time frame is pre set.

20. A method according to claim 15, in wherein the URL of the pages viewed by such user are utilized to determine the number of times a page is viewed.

21. A method according to claim 15, in wherein the URL of the page being viewed, as well as the URL of the page referring to the one being viewed are utilized to determine the number of times a page is viewed.

15. A method for determining a users intent to reset content changing through time or time based content being viewed on the display screen of a computer system, the computer system running a web browser program under an operating system having a graphical user interface, the method comprising the steps of, searching the logs of a content server, identifying unique users in such logs, identifying occurrences in which the unique user views a same web page consecutively within a preset time frame.

22. A method for determining a user'"'"'s intent to refresh or reload content being viewed on the display screen of an interactive television system, such system being capable of delivering custom content to each individual user or group of users, the method comprising the steps of, searching the logs of a content server, identifying unique users in such log, identifying occurrences in which the unique user views the same content consecutively within a preset time frame.

23. A method according to claim 22, in wherein the logs belong to a party other than the one serving the content.

24. A method according to claim 22, in wherein the logs belong to an ad server party.

25. A method according to claim 22, in wherein the time frame is set dynamically based on the time spent by the average user while engaged in interacting with the current content or various other online activities.

26. A method according to claim 22, in wherein the time frame is pre set.

28. A method according to claim 27, in wherein the logs belong to a party other than the one serving the content.

29. A method according to claim 27, in wherein the logs belong to an ad server party.

30. A method according to claim 27, in wherein the time frame is set dynamically based on the time spent by the average user while engaged in interacting with the current content or various other online activities.

31. A method according to claim 27, in wherein the time frame is pre set.

27. A method for determining a users intent to view or review an advertisement being viewed on the display screen of an interactive television system, such system being capable of delivering custom content to each individual user or group of users, the method comprising the steps of, searching the logs of a content server, identifying unique users in such log, identifying occurrences in which the unique user views the same content consecutively within a preset time frame.

32. A method for determining a user'"'"'s intent to reset content changing through time being viewed on the display screen of an interactive television system, such system being capable of delivering custom content to each individual user or group of users, the method comprising the steps of, searching the logs of a content server, identifying unique users in such log, identifying occurrences in which the unique user views the same content consecutively within a preset time frame.

33. A method according to claim 32, in wherein the logs belong to a party other than the one serving the content.

34. A method according to claim 32, in wherein the logs belong to an ad server party.

35. A method according to claim 32, in wherein the time frame is set dynamically based on the time spent by the average user while engaged in interacting with the current content or various other online activities.

36. A method according to claim 32, in wherein the time frame is pre set.