PREFERENCE PREDICTION TOOL

• US 20140108320A1
• Filed: 10/16/2012
• Published: 04/17/2014
• Est. Priority Date: 10/16/2012
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Tomer Rider
• Inventors: Baca, Jim S., Stanasolovich, David, Li, Hong, Tafoya, Joan M., Rider, Tomer
• Application Number:
  US13/652,517
• Publication Number:
  US 20140108320A1
• Time in Patent Office: Days
• US Class Current: 706/48
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

In accordance with some embodiments of the present invention, information about a user'"'"'s activities and habits may be collected on an ongoing basis with the user'"'"'s permission. This information about previous history can then tied to inferences that enable predictions about the user'"'"'s preferences. As a result, when it comes time for the user to make a decision or a selection, information about past history and permissible inferences can be used to automatically provide suggestions for implementing future activities. In addition, in some cases this previous history information can be used to optimize future selections.

Claims

1. A method comprising:

compiling a history of user'"'"'s travels on a computer that accompanies the user;

deriving inferences from said history, using said computer; and

using those inferences to suggest, using said computer, an activity at a new location visited by the user.

2. The method of claim 1 including using said inferences to optimize a future activity.

3. The method of claim 1 including using said inferences to make a selection for the user while travelling.

4. The method of claim 1 wherein compiling a history includes compiling information about locations visited.

5. The method of claim 1 wherein compiling a history includes compiling information about how often a location is visited.

6. The method of claim 1 wherein compiling a history includes collecting information about a time when the user visits a location.

7. The method of claim 1 wherein compiling a history includes recording the amount of time a user spends at a location.

8. The method of claim 1 wherein compiling a history includes compiling information about web sites visited.

9. The method of claim 1 wherein compiling a history includes compiling information about electronic purchases.

10. The method of claim 1 including compiling information about television show viewing.

11. One or more non-transitory computer readable media storing instructions executed by a computer to:

develop a history of travels;

analyze said history to determine a pattern; and

use said pattern to suggest an activity in a new location.

12. The media of claim 11 further storing instructions to use said inferences to optimize a future activity.

13. The media of claim 11 further storing instructions to use said pattern to make a selection for the user while travelling.

14. The media of claim 11 further storing instructions to compile a history includes compiling information about locations visited.

15. The media of claim 11 further storing instructions to compile a history includes compiling information about how often a location is visited.

16. The media of claim 11 further storing instructions to develop a history by collecting information about a time when the user visits a location.

17. The media of claim 11 further storing instructions to record the amount of time a user spends at a location.

18. The media of claim 11 further storing instructions to compile information about web sites visited.

19. The media of claim 11 further storing instructions to compile information about electronic purchases.

20. The media of claim 11 further storing instructions to compile information about television show viewing.

21. A computer comprising:

a processor to compile a history of electronic activities on a computer, derive inferences from patterns of said activities, use those inferences to suggest a future activity; and

a storage coupled to said processor.

22. The computer of claim 21, said processor to use said inferences to optimize a future activity.

23. The computer of claim 21, said processor to use said inferences to make a selection for the user while travelling.

24. The computer of claim 21, said processor to compile a history by compiling information about locations visited.

25. The computer of claim 21, said processor to compile a history by compiling information about how often a location is visited.