Method for automatically determining application recommendation result based on auxiliary information and associated computer readable medium and user interface

Patent metadata

Field	Value
Publication number	US-2016291969-A1
Application number	US-201615180096-A
Country	US
Kind code	A1
Filing date	Jun 13, 2016
Priority date	Nov 23, 2012
Publication date	Oct 6, 2016
Grant date	—

Abstract

An application recommendation method includes following steps: checking at least one predetermined rule to generate at least one analysis result for at least one of a plurality of candidate applications; and automatically determining an application recommendation result of recommended applications, wherein the at least one of the candidate applications is selectively used as one recommended application in the application recommendation result according to the at least one analysis result. In addition, a computer readable medium stores a program code. When executed by a processor, the program code instructs the processor to perform steps of the application recommendation method. Moreover, a display screen shows an application hot zone according to the application recommendation result of recommended applications.

First claim

What is claimed is:

1 . An application recommendation method, comprising:
checking at least one predetermined rule to generate at least one analysis result for at least one of a plurality of candidate applications; and automatically determining an application recommendation result of recommended applications, wherein the at least one of the candidate applications is selectively used as one recommended application in the application recommendation result according to the at least one analysis result.

2 . The application recommendation method of claim 1 , further comprising:
determining an application recommendation range according to an event triggered by at least one of location and time; and determining the candidate applications according to the application recommendation range.

3 . The application recommendation method of claim 1 , further comprising:
receiving auxiliary information; and analyzing the auxiliary information based on a plurality of predetermined rules, such that the at least one analysis result is generated for the at least one of the candidate applications.

4 . The application recommendation method of claim 3 , wherein the auxiliary information comprises a user profile data including user preference information.

5 . The application recommendation method of claim 4 , wherein the user preference information comprises at least one of a user-defined recommended application category, a current location of a user device, and a user's preference of applications.

6 . The application recommendation method of claim 1 , wherein the step of automatically determining the application recommendation result comprises:
calculating a final score for the at least one of the candidate applications based on the at least one analysis result; and comparing final scores of the candidate applications to determine the application recommendation result.

7 . A non-transitory computer readable medium storing a program code, wherein when executed by a processor, the program code instructs the processor to perform following steps for application recommendation:
checking at least one predetermined rule to generate at least one analysis result for at least one of a plurality of candidate applications; and automatically determining an application recommendation result of recommended applications, wherein the at least one of the candidate applications is selectively used as one recommended application in the application recommendation result according to the at least one analysis result.

8 . The non-transitory computer readable medium of claim 7 , wherein the program code further instructs the processor to perform following steps for application recommendation:
determining an application recommendation range according to an event triggered by at least one of location and time; and determining the candidate applications according to the application recommendation range.

9 . The non-transitory computer readable medium of claim 7 , wherein the program code further instructs the processor to perform following steps for application recommendation:
receiving auxiliary information; and analyzing the auxiliary information based on a plurality of predetermined rules, such that the at least one analysis result is generated for the at least one of the candidate applications.

10 . The non-transitory computer readable medium of claim 9 , wherein the auxiliary information comprises a user profile data including user preference information.

11 . The non-transitory computer readable medium of claim 10 , wherein the user preference information comprises at least one of a user-defined recommended application category, a current location of a user device, and a user's preference of applications.

12 . The non-transitory computer readable medium of claim 7 , wherein the step of automatically determining the application recommendation result comprises:
calculating a final score for the at least one of the candidate applications based on the at least one analysis result; and comparing final scores of the candidate applications to determine the application recommendation result.

13 . A user interface of a user device, comprising:
a display screen, arranged to show an application hot zone according to an automatically determined application recommendation result of recommended applications, wherein at least one of a plurality of candidate applications is selectively used as one recommended application in the automatically determined application recommendation result according to at least one analysis result generated for the at least one of the candidate applications by checking at least one predetermined rule.

14 . The user interface of claim 13 , wherein the application hot zone shows application icons of the recommended applications; when a recommended application is not installed in the user device, an application icon of the recommended application is one of a non-transparent icon and a transparent icon; and when the recommended application is installed in the user device, the application icon of the recommended application is another of the non-transparent icon and the transparent icon.

15 . The user interface of claim 13 , wherein the automatically determined application recommendation result is provided by a processor of the user device, and the processor determines an application recommendation range according to an event triggered by at least one of location and time, and determines the candidate applications according to the application recommendation range.

16 . The user interface of claim 13 , wherein the processor analyzes auxiliary information according to a plurality of predetermined rules, such that the at least one analysis result is generated for the at least one of the candidate applications.

17 . The user interface of claim 16 , wherein the auxiliary information comprises a user profile data including user preference information.

18 . The user interface of claim 17 , wherein the user preference information comprises at least one of a user-defined recommended application category, a current location of a user device, and a user's preference of applications.

19 . The user interface of claim 13 , wherein the processor calculates a final score for the at least one of the candidate applications according to the at least one analysis result, and compares final scores of the candidate applications to determine the application recommendation result.

Assignees

• Mediatek Inc

Inventors

• Chien Min-Hung

Classifications

• G06F8/61

  Installation · CPC title

• G06F8/65

  Updates (security arrangements therefor G06F21/57) · CPC title

• G06F8/62

  Uninstallation · CPC title

• G06F8/70 Primary

  Software maintenance or management · CPC title

• G06F8/60

  Software deployment · CPC title