Graphical user interface with embedded artificial intelligence

• US 20020180786A1
• Filed: 06/04/2001
• Published: 12/05/2002
• Est. Priority Date: 06/04/2001
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.), Sony Electronics Inc. (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.), Sony Electronics Inc. (Sony Group Corp.)
• Inventors: Tanner, Robert
• Application Number:
  US09/874,746
• Publication Number:
  US 20020180786A1
• Time in Patent Office: Days
• US Class Current: 715/745
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An intelligent filter increases the user-friendliness of a computer graphical user interface (GUI) by determining user preferences based on user interaction with the GUI and changing the GUI accordingly. The filter monitors a graphical user interface to determine what frames and frame content are frequently used and remove frames and frame content of the interface that are not commonly used by an individual user. The interface is rearranged to cover any gaps. Additionally, the user is tracked to websites that the user frequents. Links to those websites are given emphasis on the rearranged user interface. The user is notified if changes are made to a favored website. The user is rewarded with discounts and other prizes for frequently going to a particular website.

Claims

1. A computerized method comprising:

determining a preference of a user by monitoring the user'"'"'s interaction with a graphic user interface; and

selectively editing content on the graphic user interface based on the preference.

2. The computerized method of claim 1, further comprising reorganizing the edited content into a contiguous group.

3. The computerized method of claim 1, wherein the graphical user interface is a website.

4. The computerized method of claim 3, further comprising updating the preference based on access to at least a portion of a web page from the website.

5. The computerized method of claim 4, further comprising rewarding the user for actively accessing the web page.

6. The computerized method of claim 1, further comprising tracking a user to a frequently accessed website.

7. The computerized method of claim 6, further comprising categorizing the frequently accessed website.

8. The computerized method of claim 6, further comprising notifying the user when the frequently accessed website is updated.

9. A filter comprising:

a module to determine a preference of a user and to selectively edit content on a graphical user interface based on that preference.

10. The filter of claim 9, wherein the filter reorganizes the edited content into a contiguous group.

11. The filter of claim 9, wherein the graphical user interface is a website.

12. The filter of claim 11, wherein the filter updates the preference based on access to at least a portion of the website.

13. The filter of claim 11, wherein the filter rewards a user for actively accessing the website.

14. The filter of claim 9, wherein the filter tracks a user to a frequently accessed website.

15. The filter of claim 14, wherein the filter categorizes the frequently accessed website.

16. The filter of claim 14, wherein the filter notifies the user when the frequently accessed website is updated.

18. The machine-readable storage medium of claim 17, further comprising reorganizing the edited content into a contiguous group.

19. The machine-readable storage medium of claim 17, wherein the graphical user interface is a website.

20. The machine-readable storage medium of claim 19, further comprising updating the preference based on access to at least a portion of the web page.

21. The machine-readable storage medium of claim 19, further comprising rewarding a user for actively accessing the web page.

22. The machine-readable storage medium of claim 17, further comprising tracking a user to a frequently accessed website.

23. The machine-readable storage medium of claim 22, further comprising categorizing the frequently accessed website.

24. The machine-readable storage medium of claim 22, further comprising notifying the user when the frequently accessed website is updated.

26. The system of claim 25, wherein the filter program reorganizes the edited content into a contiguous group.

27. The system of claim 25, wherein the graphical user interface is a website.

28. The system of claim 27, wherein the filter program updates the preference based on access to at least a portion of the website.

29. The system of claim 27, wherein the filter program rewards a user for actively accessing the website.

30. The system of claim 25, wherein the filter program tracks a user to a frequently accessed website.

31. The system of claim 30, wherein the filter categorizing the frequently accessed website.

32. The system of claim 30, wherein the filter notifies the user when the frequently accessed website is updated.

17. A machine-readable storage medium tangibly embodying a sequence of instructions executable by a machine to perform a method comprising:

determining a preference of a user by monitoring the user'"'"'s interaction with a graphic user interface; and

selectively editing content on the graphic user interface based on the preference.

25. A computer system comprising:

a processing unit;

a memory coupled to the processing unit through a system bus; and

a filter process executed from the memory by the processing unit, wherein the filter process causes the processing unit to selectively edit content on a graphical user interface based on user preference.