Method, server, mobile terminal and system for program execution

• US 9,389,880 B2
• Filed: 11/25/2014
• Issued: 07/12/2016
• Est. Priority Date: 05/25/2012
• Status: Active Grant

• Current Assignee: Honor Device Company Limited
• Original Assignee: Huawei Device Company Limited (Huawei Investment & Holding Co., Ltd.)
• Inventors: Zhang, Yan
• Primary Examiner(s): HTUN, SAN A
• Application Number:
  US14/553,503
• Publication Number:
  US 20150079964A1
• Time in Patent Office: 595 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/04812 Interaction techniques based on cursor appearance or behaviour, e.g. being affected by the presence of displayed objects
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: H04M 1/724 User interfaces specially adapted for cordless or mobile telephones
• CPC Class Codes: H04M 1/72448 with means for adapting the functionality of the device according to specific conditions
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 1/72472 wherein the items are sorted according to specific criteria, e.g. frequency of use

Abstract

A program execution method, a server, a mobile terminal, and a system. The method includes: receiving a user action UA record sent by a mobile terminal; searching the UA record for a UA sequence that repeatedly appears; determining an association relationship between UAs in the UA sequence that repeatedly appears; creating a corresponding use mode according to the association relationship; and sending the use mode to the mobile terminal, so that the mobile terminal uses a use mode corresponding to a monitored UA, wherein the user action refers to an operation performed on an application program on the mobile terminal. In addition, a corresponding server, a mobile terminal, and a program execution system are provided. The present invention meets a personalized requirement of a user, and moreover reduces complexity of a user operation, saves the user'"'"'s time and energy, and improves user experience.

Claims

1. A program execution method, wherein the method comprises:

receiving a user action (UA) record sent by a mobile terminal;

searching the UA record for a UA sequence that repeatedly appears;

determining an association relationship between UAs in the UA sequence that repeatedly appears;

creating a corresponding use mode according to the association relationship; and

sending a use mode to the mobile terminal so that the mobile terminal uses the use mode corresponding to a monitored UA,

wherein the user action refers to an operation performed on an application program on the mobile terminal,

wherein determining the association relationship between the UAs in the UA sequence that repeatedly appears comprises;

grouping the N UA sequences to form a UA sequence set for any UA sequence that repeatedly appears N times within a preset time, wherein N≧

2;

acquiring some UA sequences from the UA sequence set;

using all UAs in the some UA sequences to form a first UA sequence set;

generating, according to a first user environment (UE) of the UAs in the first UA sequence set, a mapping function of the UE of the UA sequence;

acquiring all UAs in a remaining UA sequence except the some UA sequences from the UA sequence set to form a second UA sequence set;

verifying the mapping function according to a second UE of the UAs in the second UA sequence set;

determining, according to a result of the verifying, whether the mapping function meets a specified requirement;

determining that the UAs in the UA sequence are in a causal association relationship when the mapping function meets the specified requirement; and

determining that the UAs in the UA sequence are in an aggregate association relationship when the mapping function does not meet the specified requirement,

wherein the mapping function of the UE is obtained after function fitting is performed by using an initial value of the UE as an independent variable and using a changed value of the UE as a function value,

wherein the initial value of the UE refers to a value of the UE before a UA occurs, and

wherein the changed value of the UE refers to the value of the UE after the UA occurs.

2. The method according to claim 1, wherein verifying the mapping function according to the second UE of the UAs in the second UA sequence set, and determining, according to the result of the verifying, whether the mapping function meets a specified requirement comprises:

acquiring the second UE of the UAs in the second UA sequence set;

using the initial value of the second UE as the independent variable;

calculating a function value of the second UE by using the mapping function;

calculating an average deviation rate of the mapping function according to the function value of the second UE and the changed value of the second UE;

determining whether the average deviation rate of the mapping function is less than a preset deviation rate threshold;

determining that the mapping function meets the specified requirement when the average deviation rate of the mapping function is less than a preset deviation rate threshold; and

determining that the mapping function does not meet the specified requirement when the average deviation rate of the mapping function is not less than the preset deviation rate threshold.

3. The method according to claim 1, wherein creating the corresponding use mode according to the association relationship comprises:

generating a causal use mode corresponding to the causal association relationship when the association relationship is the causal association relationship,

wherein the causal use mode comprises;

a first list of UAs that trigger the causal association relationship,

a second list of UAs causally associated with the UAs that trigger the causal association relationship, and

the mapping function of the UE of the UA in the causal association relationship; and

generating an aggregate use mode corresponding to the aggregate association relationship when the association relationship is the aggregate association relationship, and one of the following;

wherein the aggregate use mode comprises a third list of UAs that trigger the aggregate association relationship, and a fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, or

wherein the aggregate use mode comprises the third list of UAs that trigger the aggregate association relationship, the fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, and the UE of the UA in the aggregate association relationship.

4. The method according to claim 1, wherein the UE refers to an environment in which the mobile terminal is during occurrence, before occurrence or after occurrence of a UA, and wherein the UE comprises one or more of the following:

time, location, temperature, light, volume of an external environment, volume of the mobile terminal, gravity, and screen brightness.

5. A program execution method, wherein the method comprises:

acquiring a user action (UA) record;

searching the UA record for a UA sequence that repeatedly appears;

determining an association relationship between UAs in the UA sequence;

creating a corresponding use mode according to the association relationship;

determining whether a UA meets a trigger condition of at least one use mode of the use modes when a mobile terminal monitors the UA; and

using the at least one use mode whose trigger condition is met on the mobile terminal when the UA meets a trigger condition of the at least one use mode of the use modes,

wherein the user action refers to an operation performed on an application program on the mobile terminal,

wherein determining the association relationship between the UAs in the UA sequence that repeatedly appears comprises;

grouping the N UA sequences to form a VA sequence set for any UA sequence that repeatedly appears N times within a preset time, wherein N≧

2;

acquiring some UA sequences from the VA sequence set;

using all UAs in the some UA sequences to form a first UA sequence set;

generating, according to a first user environment (UE) of the UAs in the first UA sequence set, a mapping function of the UE of the UA sequence;

acquiring all UAs in a remaining UA sequence except the some UA sequences from the UA sequence set to form a second UA sequence set;

verifying the mapping function according to a second UE of the UAs in the second UA sequence set;

determining, according to a result of the verifying, whether the mapping function meets a specified requirement;

determining that the UAs in the UA sequence are in a causal association relationship when the mapping function meets the specified requirement; and

determining that the UAs in the UA sequence are in an aggregate association relationship when the mapping function does not meet the specified requirement,

wherein the mapping function of the UE is obtained after function fitting is performed by using an initial value of the UE as an independent variable and using a changed value of the UE as a function value,

wherein the initial value of the UE refers to a value of the UE before a UA occurs, and

wherein the changed value of the UE refers to the value of the UE after the UA occurs.

6. The method according to claim 5, wherein verifying the mapping function according to the second UE of the UAs in the second UA sequence set, and determining, according to the result of the verifying, whether the mapping function meets a specified requirement comprises:

acquiring the second UE of the UAs in the second UA sequence set;

using the initial value of the second UE as the independent variable;

calculating a function value of the second UE by using the mapping function;

calculating an average deviation rate of the mapping function according to the function value of the second UE and the changed value of the second UE;

determining whether the average deviation rate of the mapping function is less than a preset deviation rate threshold;

determining that the mapping function meets the specified requirement when the average deviation rate of the mapping function is less than a preset deviation rate threshold; and

determining that the mapping function does not meet the specified requirement when the average deviation rate of the mapping function is not less than the preset deviation rate threshold.

7. The method according to claim 5, wherein creating the corresponding use mode according to the association relationship comprises:

generating a causal use mode corresponding to the causal association relationship when the association relationship is the causal association relationship,

wherein the causal use mode comprises;

a first list of UAs that trigger the causal association relationship,

a second list of UAs causally associated with the UAs that trigger the causal association relationship, and

the mapping function of the UE of the UA in the causal association relationship; and

generating an aggregate use mode corresponding to the aggregate association relationship when the association relationship is the aggregate association relationship, and one of the following;

wherein the aggregate use mode comprises a third list of UAs that trigger the aggregate association relationship, and a fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, or

wherein the aggregate use mode comprises the third list of UAs that trigger the aggregate association relationship, the fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, and the UE of the UA in the aggregate association relationship.

8. The method according to claim 5, wherein the UE refers to an environment in which the mobile terminal is during occurrence, before occurrence or after occurrence of a UA, and wherein the UE comprises one or more of the following:

time, location, temperature, light, volume of an external environment, volume of the mobile terminal, gravity, and screen brightness.

9. A server, wherein the server comprises:

a receiver configured to receive a user action (UA) record sent by a mobile terminal;

a processor coupled to the receiver and configured to;

search the UA record for a UA sequence that repeatedly appears;

determine an association relationship between UAs in the UA sequence that repeatedly appears; and

create a corresponding use mode according to the association relationship; and

a transmitter coupled to the processor and configured to send the use mode to the mobile terminal so that the mobile terminal uses a use mode corresponding to a monitored UA,

wherein the user action refers to an operation performed on an application program on the mobile terminal,

wherein the processor is further configured to;

group the N UA sequences to form the UA sequence set for any UA sequence that repeatedly appears N times within a preset time, wherein N? 2;

acquire some UA sequences from the UA sequence set;

use all UAs in the some UA sequences to form a first UA sequence set;

generate, according to a first user environment (UE) of the UAs in the first UA sequence set, a mapping function of the UE of the UA sequence;

acquire all UAs in a remaining UA sequence except the some UA sequences from the UA sequence set to form a second UA sequence set;

verify the mapping function according to a second UE of the UAs in the second UA sequence set;

determine, according to a result of the verifying, whether the mapping function meets a specified requirement;

determine that the UAs in the UA sequence are in a causal association relationship when the mapping function meets the specified requirement; and

determine that the UAs in the UA sequence are in an aggregate association relationship when the mapping function does not meet the specified requirement,

wherein the mapping function of the UE is obtained after function fitting is performed by using an initial value of the UE as an independent variable and using a changed value of the UE as a function value,

wherein the initial value of the UE refers to a value of the UE before the UA occurs, and

wherein the changed value of the UE refers to the value of the UE after the UA occurs.

10. The server according to claim 9, wherein the processor is further configured to:

acquire the second UE of the UAs in the second UA sequence set;

use an initial value of the second UE as the independent variable;

calculate the function value of the second UE by using the mapping function;

calculate an average deviation rate of the mapping function according to the function value of the second UE and a changed value of the second UE;

determine whether the average deviation rate of the mapping function is less than a preset deviation rate threshold;

determine that the mapping function meets the specified requirement when the average deviation rate of the mapping function is less than the preset deviation rate threshold; and

determine that the mapping function does not meet the specified requirement when the average deviation rate of the mapping function is not less than the preset deviation rate threshold.

11. The server according to claim 9, wherein the processor is further configured to:

generate a causal use mode corresponding to the causal association relationship when the association relationship is the causal association relationship, wherein the causal use mode comprises a first list of UAs that trigger the causal association relationship, a second list of UAs causally associated with the UAs that trigger the causal association relationship, and the mapping function of the UE of the UA in the causal association relationship; and

generate an aggregate use mode corresponding to the aggregate association relationship when the association relationship is the aggregate association relationship, and one of the following;

wherein the aggregate use mode comprises a third list of UAs that trigger the aggregate association relationship, and a fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, or

wherein the aggregate use mode comprises the third list of UAs that trigger the aggregate association relationship, the fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, and the UE of the UA in the aggregate association relationship.

12. A mobile terminal, wherein the mobile terminal comprises:

a processor configured to;

acquire a user action (UA) record;

search the UA record for a UA sequence that repeatedly appears, and determine an association relationship between UAs in the UA sequence;

create a corresponding use mode according to the association relationship;

determine whether a UA meets a trigger condition of at least one use mode of the use modes when the UA is monitored;

use the at least one use mode whose trigger condition is met on the mobile terminal when determining that the UA meets a trigger condition of the at least one use mode of the use modes, wherein the user action refers to an operation performed on an application program on the mobile terminal,

group the N UA sequences to form the UA sequence set for any UA sequence that repeatedly appears N times within a preset time, wherein N≧

2;

acquire some UA sequences from the UA sequence set;

use all UAs in the some UA sequences to form a first UA sequence set;

generate, according to a first user environment (UE) of the UAs in the first UA sequence set, a mapping function of the UE of the UA sequence;

acquire all UAs in a remaining UA sequence except the some UA sequences from the UA sequence set to form a second UA sequence set;

verify the mapping function according to a second UE of the UAs in the second UA sequence set;

determine, according to a result of the verifying, whether the mapping function meets a specified requirement;

determine that the UAs in the UA sequence are in a causal association relationship when the mapping function meets the specified requirement; and

determine that the UAs in the UA sequence are in an aggregate association relationship when the mapping function does not meet the specified requirement,

wherein the mapping function of the UE is obtained after function fitting is performed by using an initial value of the UE as an independent variable and using a changed value of the UE as a function value,

wherein the initial value of the UE refers to a value of the UE before the UA occurs, and

wherein the changed value of the UE refers to the value of the UE after the UA occurs.

13. The mobile terminal according to claim 12, wherein the processor is further configured to:

acquire the second UE of the UAs in the second UA sequence set;

use an initial value of the second UE as the independent variable;

calculate the function value of the second UE by using the mapping function;

calculate an average deviation rate of the mapping function according to the function value of the second UE and a changed value of the second UE;

determine whether the average deviation rate of the mapping function is less than a preset deviation rate threshold;

determine that the mapping function meets the specified requirement when the average deviation rate of the mapping function is less than the preset deviation rate threshold; and

determine that the mapping function does not meet the specified requirement when the average deviation rate of the mapping function is not less than the preset deviation rate threshold.

14. The mobile terminal according to claim 12, wherein the processor is further configured to:

generate a causal use mode corresponding to the causal association relationship when the association relationship is the causal association relationship, wherein the causal use mode comprises a first list of UAs that trigger the causal association relationship, a second list of UAs causally associated with the UAs that trigger the causal association relationship, and the mapping function of the UE of the UA in the causal association relationship; and

generate an aggregate use mode corresponding to the aggregate association relationship when the association relationship is the aggregate association relationship, and one of the following;

wherein the aggregate use mode comprises a third list of UAs that trigger the aggregate association relationship, and a fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, or

wherein the aggregate use mode comprises the third list of UAs that trigger the aggregate association relationship, the fourth list of UAs aggregately associated with the UAs that trigger the aggregate association relationship, and the UE of the UA in the aggregate association relationship.

15. The mobile terminal according to claim 12, wherein the processor is further configured to:

acquire a second list of UAs causally associated with the UA and comprised in the causal use mode, and a mapping function of a UE of the VA in the association relationship when the at least one use mode whose trigger condition is met is a causal use mode;

acquire a current UE of the mobile terminal;

calculate a function value of the current UE by using the mapping function;

execute at least some of the UAs in the second list of UAs on the mobile terminal; and

set the UE of the mobile terminal according to the function value of the current UE, and

wherein the processor is further configured to perform one of the following;

acquire a fourth list of UAs aggregately associated with the UA and comprised in the aggregate use mode, and execute at least some of the UAs in the fourth list of UAs on the mobile terminal;

or

acquire the fourth list of UAs aggregately associated with the UA and comprised in the aggregate use mode, and the UE of the UA in the association relationship, execute at least some of the UAs in the fourth list of UAs on the mobile terminal, and set the UE of the mobile terminal according to the UE that is acquired.