PORTABLE ELECTRONIC DEVICE AND CONTROL METHOD THEREFOR

• US 20130283283A1
• Filed: 06/21/2013
• Published: 10/24/2013
• Est. Priority Date: 01/13/2011
• Status: Abandoned Application

• Current Assignee: HTC Corporation
• Original Assignee: HTC Corporation
• Inventors: Wang, Hui-Wen, Kao, Yih-Feng, Peng, Wen-Chih, Yang, Kae-Cherng
• Application Number:
  US13/923,409
• Publication Number:
  US 20130283283A1
• Time in Patent Office: Days
• US Class Current: 718/102
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 9/46 Multiprogramming arrangements
• CPC Class Codes: G06F 9/4843 by program, e.g. task dispatcher, supervisor, operating system
• CPC Class Codes: H04M 1/67 by electronic means
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04M 1/72466 with selection means, e.g. keys, having functions defined by the mode or the status of the device

Abstract

An application usage history of a plurality of applications installed on the portable electronic device is logged. The application usage history includes any combination of when the applications are launched, where the application are launched and application launch patterns. Any combination of a current time information, a current location information and a current application launch pattern are obtained. The applications are selected to provide the application list including at least one application that is possible to be launched according to the application usage history and any combination of the current time information, the current location information and the current application launch pattern.

Claims

1. A control method for providing an application list on a portable electronic device, comprising:

logging an application usage history of a plurality of applications installed on the portable electronic device, the application usage history including any combination of when the applications are launched, where the application are launched and application launch patterns;

obtaining any combination of a current time information, a current location information and a current application launch pattern; and

selecting from the applications to provide the application list including at least one application that is possible to be launched according to the application usage history and any combination of the current time information, the current location information and the current application launch pattern.

2. The control method according to claim 1, wherein, the step of selecting the applications comprises:

generating probabilities for the applications according to the application usage history and any combination of the current time information, the current location information and the current application launch pattern; and

selecting applications having probability into the application list that is possible to be launched.

3. The control method according to claim 2, wherein:

based on the current time information and the application usage history, predicting which of the applications is likely to be launched based on a time-dependent model.

4. The control method according to claim 2, wherein:

based on the current location information and the application usage history, predicting which of the applications is likely to be launched based on a location-dependent model.

5. The control method according to claim 2, wherein:

based on the current application launch pattern and the application usage history, predicting which of the applications is likely to be launched based on a role-based model.

6. The control method according to claim 2, comprising:

combining probabilities provided by a time-dependent model and/or a location-dependent model and/or a rule-based model;

the time-dependent model predicting which of the applications is likely to be launched based on the current time information and the application usage history;

the location-dependent model predicting which of the applications is likely to be launched based on the current location information and the application usage history; and

the role-based model predicting which of the applications is likely to be launched based on the current application launch pattern and the application usage history.

7. A control method for a portable electronic device, including:

logging a data sync application usage history of a plurality of data sync applications installed on the portable electronic device, the data sync application usage history including any combination of when and where the data sync applications are launched;

mining the data sync application usage history for finding out dependent probabilities for the data sync applications;

scheduling data sync actions of the portable electronic device based on the mining; and

if time for the scheduled data sync actions arrives, deciding whether to perform the schedule data sync actions or not based on a signal connection quality of the portable electronic device.

8. The control method according to claim 7, wherein the mining step comprises:

mining the data sync application usage history based on any combination of a location-dependent model and a time-dependent model;

wherein mining the data sync application usage history about when the data sync applications are launched based on the time-dependent model; and

wherein mining the data sync application usage history about where the data sync applications are launched based on the location-dependent model.

9. The control method according to claim 7, wherein

if the mining indicates that synced data is not consumed within a duration, then data sync actions of the portable electronic device are not scheduled in the duration.

10. The control method according to claim 7, wherein:

if the signal connection quality is below a threshold, postponing or skipping the data-sync actions.

11. The control method according to claim 7, further comprising:

logging and mining user behavior about heavy-bandwidth-loading contents;

if consumption of the heavy-bandwidth-loading contents has a probability higher than a content consumption threshold, pre-fetching the heavy-bandwidth-loading contents if the signal connection quality is higher than a signal quality threshold.

12. The control method according to claim 11, further comprising:

mining content download behaviors about a content sender and a content sharer; and

mining the content download behaviors about which kind of content are downloaded.

13. A portable electronic device, comprising:

a log subsystem logging an application usage history of a plurality of applications installed on the portable electronic device, the application usage history including any combination of when the applications are launched, where the application are launched and application launch patterns;

means for obtaining any combination of a current time information, a current location information and a current application launch pattern; and

a predicting subsystem selecting from the applications to provide the application list including at least one application that is possible to be launched according to the application usage history and any combination of the current time information, the current location information and the current application launch pattern.

14. The portable electronic device according to claim 13, wherein:

the predicting subsystem generates probabilities for the applications according to the application usage history and any combination of the current time information, the current location information and the current application launch pattern; and

the predicting subsystem selects applications having probability into the application list that is possible to be launched.

15. The portable electronic device according to claim 14, wherein:

based on the current time information and the application usage history, the predicting subsystem predicts which of the applications is likely to be launched based on a time-dependent model.

16. The portable electronic device according to claim 14, wherein:

based on the current location information and the application usage history, the predicting subsystem predicts which of the applications is likely to be launched based on a location-dependent model.

17. The portable electronic device according to claim 14, wherein:

based on the current application launch pattern and the application usage history, the predicting subsystem predicts which of the applications is likely to be launched based on a role-based model.

18. The portable electronic device according to claim 14, further comprising:

a combination engine, combining probabilities provided by a time-dependent model engine and/or a location-dependent model engine and/or a rule-based model engine of the predicting subsystem;

the time-dependent model engine predicting which of the applications is likely to be launched based on the current time information and the application usage history;

the location-dependent model engine predicting which of the applications is likely to be launched based on the current location information and the application usage history; and

the role-based model engine predicting which of the applications is likely to be launched based on the current application launch pattern and the application usage history.

19. A portable electronic device, including:

a logging subsystem, logging a data sync application usage history of a plurality of data sync applications installed on the portable electronic device, the data sync application usage history including any combination of when and where the data sync applications are launched;

a mining subsystem mining the data sync application usage history for finding out dependent probabilities for the data sync applications;

a dynamic scheduling subsystem, scheduling data sync actions of the portable electronic device based on the mining; and

a data-sync decision subsystem, if time for the scheduled data sync actions arrives, deciding whether to perform the schedule data sync actions or not based on a signal connection quality of the portable electronic device.

20. The portable electronic device, according to claim 19, wherein:

the mining subsystem mines the data sync application usage history based on any combination of a location-dependent model and a time-dependent model;

the mining subsystem mines the data sync application usage history about when the data sync applications are launched based on the time-dependent model; and

the mining subsystem mines the data sync application usage history about where the data sync applications are launched based on the location-dependent model.

21. The portable electronic device according to claim 19, wherein

if the mining from the mining subsystem indicates that synced data is not consumed within a duration, then the dynamic scheduling subsystem does not schedule data sync actions in the duration.

22. The portable electronic device according to claim 19, wherein:

if the signal connection quality is below a threshold, the data-sync decision subsystem postpones or skips the data-sync actions.

23. The portable electronic device according to claim 19, further comprising:

the log subsystem and the mining subsystem logging and mining user behavior about heavy-bandwidth-loading contents;

if consumption of the heavy-bandwidth-loading contents has a probability higher than a content consumption threshold, the heavy-bandwidth-loading contents are pre-fetched if the signal connection quality is higher than a signal quality threshold.

24. The portable electronic device according to claim 23, wherein

the mining subsystem mines content download behaviors about a content sender and a content sharer;

and

the mining subsystem mines the content download behaviors about which kind of content are downloaded.