System and method for creating and utilizing context-sensitive popularity data

• US 20060282788A1
• Filed: 06/10/2005
• Published: 12/14/2006
• Est. Priority Date: 06/10/2005
• Status: Abandoned Application

• Current Assignee: Nokia Corporation
• Original Assignee: Nokia Corporation
• Inventors: Aspiala, Markus, Paalasmaa, Joonas
• Application Number:
  US11/149,630
• Publication Number:
  US 20060282788A1
• Time in Patent Office: Days
• US Class Current: 715/764
• CPC Class Codes: G06F 16/54 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching

Abstract

A system and method for preprocessing context-sensitive content on an electronic device. A plurality of properties are monitored for a plurality of files. A probability is determined for each of the plurality of files regarding whether each particular file will be accessed by a user when the user is browsing a particular location on an electronic device in a particular context. When the user browses to the particular location, those files that were calculated to possess the highest probability of being opened at the particular location in the particular context of the device are preprocessed, enabling the user to quickly access the files.

Claims

1. A method of preprocessing content on an electronic device, comprising:

monitoring a plurality of properties regarding a plurality of files;

for the plurality of files, determining a probability that the file will be accessed by a user when the user is browsing a particular location on an electronic device in a particular context; and

upon the user browsing the particular location, processing files from the plurality of files that have the highest probability of being opened at the particular location in the particular context.

2. The method of claim 1, further comprising displaying the files that have the highest probability of being opened at the particular location to the user in the particular context when the user browses the particular location in the particular context.

3. The method of claim 1, wherein each of the plurality of files comprise an image.

4. The method of claim 3, wherein the plurality of properties for each file are selected from the group consisting of a unique identifier for the image, the location where the image was captured, patterns recognized from the image, metadata associated with the image, the origin of the image, the creator of the image, the file type and combinations thereof.

5. The method of claim 1, wherein the plurality of files further comprises digital content in any form.

6. The method of claim 5, wherein the plurality of files comprise files selected from the group consisting of audio files, video files, image files, electronic mail, and combinations thereof.

7. The method of claim 1, further comprising preloading the files that have the highest probability of being opened at the particular location to the user in the particular context when the user browses the particular location in the particular context.

8. The method of claim 1, wherein the context is based upon the group consisting of those individuals who open the file, the time at which the file is opened, the date at which the file is opened, recently accessed files, metadata gathered from sensors on the electronic device, the location of the device when the file is accessed, and combinations thereof.

9. The method of claim 1, wherein the probability for each of the plurality of files is generated using Bayesian statistics.

10. The method of claim 1, wherein the plurality of properties include the relative popularity of each file.

11. The method of claim 1, wherein the plurality of properties include the number of steps required for the user to access the file from the particular location.

12. A computer program product for preloading content on an electronic device, comprising:

computer code for monitoring a plurality of properties regarding a plurality of files;

computer code for, for the plurality of files, determining a probability that the file will be accessed by a user when the user is browsing a particular location on an electronic device in a particular context; and

computer code for, upon the user browsing the particular location, processing files from the plurality of files that have the highest probability of being opened at the particular location in the particular context.

13. The computer program product of claim 12, wherein each of the plurality of files comprise an image.

14. The computer program product of claim 13, wherein the plurality of properties for each file are selected from the group consisting of a unique identifier for the image, the location where the image was captured, patterns recognized from the image, metadata associated with the image, the origin of the image, the creator of the image, the file type and combinations thereof.

15. The computer program product of claim 12, wherein the plurality of files comprise files selected from the group consisting of audio files, video files, image files, electronic mail, and combinations thereof.

16. The computer program product of claim 12, further comprising computer code for preloading the files that have the highest probability of being opened at the particular location to the user in the particular context when the user browses the particular location in the particular context.

17. The computer program product of claim 12, wherein the context is based upon the group consisting of those individuals who open the file, the time at which the file is opened, the date at which the file is opened, recently accessed files, metadata gathered from sensors on the electronic device, the location of the device when the file is accessed, and combinations thereof.

18. The computer program product of claim 12, wherein the probability for each of the plurality of files is generated using Bayesian statistics.

19. The computer program product of claim 12, wherein the plurality of properties include the relative popularity of each file.

20. The computer program product of claim 12, wherein the plurality of properties include the number of steps required for the user to access the file from the particular location.

21. An electronic device, comprising:

a processor; and

a memory operatively connected to the processor and including;

computer code for monitoring a plurality of properties regarding a plurality of files;

computer code for, for the plurality of files, determining a probability that the file will be accessed by a user when the user is browsing a particular location on the electronic device in a particular context; and

computer code for, upon the user browsing the particular location, processing files from the plurality of files that have the highest probability of being opened at the particular location in the particular context.

22. The electronic device of claim 21, wherein each of the plurality of files comprise an image.

23. The electronic device of claim 22, wherein the plurality of properties for each file are selected from the group consisting of a unique identifier for the image, the location where the image was captured, patterns recognized from the image, metadata associated with the image, the origin of the image, the creator of the image, the file type and combinations thereof.

24. The electronic device of claim 21, wherein the context is based upon the group consisting of those individuals who open the file, the time at which the file is opened, the date at which the file is opened, recently accessed files, metadata gathered from sensors on the electronic device, the location of the device when the file is accessed, and combinations thereof.

25. The electronic device of claim 21, wherein the electronic device comprises a mobile telephone.

26. The electronic device of claim 21, wherein the plurality of files comprise files selected from the group consisting of audio files, video files, image files, electronic mail, and combinations thereof.

27. The electronic device of claim 21, wherein the memory unit further comprises computer code for preloading the files that have the highest probability of being opened at the particular location to the user in the particular context when the user browses the particular location in the particular context.