TWI503735B - System and method of application jump prediction - Google Patents

Description

Application jump prediction system and method

The present invention relates to the field of mobile electronic devices, and in particular, to an application jump prediction system and method.

With the development of electronic technology, various mobile electronic devices have become more and more powerful, such as mobile phones, PDAs, game consoles, and digital cameras. Taking mobile phones as an example, especially after the emergence of smart phones, more and more applications are installed on mobile phones. But there have been some problems. The user screen of the mobile phone is much smaller than that of the personal computer, so many operations are not as convenient as personal computers. For example, when we start the camera on the mobile phone and take a picture, according to the habits of many users, it may be necessary to preview the photo just taken. The current mobile phone can support the operation of turning off the camera application and returning to the main screen of the mobile phone. Then find the photo where the photo is stored and start the photo taken by the preview of the preview photo.

In view of the above, it is necessary to provide an application jump prediction system that operates in a mobile electronic device. The mobile electronic device stores a jump relationship weight matrix for storing a relationship weight value for each application to jump to each next application. The system includes: a detection module, configured to detect an application currently active in the mobile electronic device; a startup module, configured to determine whether a trigger signal for initiating an application jump prediction list is received; and applying a jump prediction list generation module, Used to start When receiving the trigger signal for starting the application jump prediction list, the dynamic module captures all the next applications corresponding to the currently active application from the jump relationship weight matrix, and arranges the relationship weight values in descending order. Generating a jump prediction list of the application; the user interaction module is configured to present the generated application jump prediction list on the display device of the mobile electronic device, and the user selects to start a next application in the application jump prediction list; and The jump relationship matrix update module is configured to update the relationship weight values of all the next applications corresponding to the currently active application in the jump relationship weight matrix.

In view of the above, it is also necessary to provide an application jump prediction method, which is applied to mobile electronic devices. The mobile electronic device stores a jump relationship weight matrix that stores a relationship weight value that each application jumps to each next application. The method includes: (a) detecting an application currently active in the mobile electronic device; (b) determining whether a trigger signal to start the application jump prediction list is received, and if yes, performing step (c), otherwise ending; (c) All the next applications corresponding to the currently active application are captured in the jump relationship weight matrix, and are arranged in descending order of relationship weight values to generate a jump prediction list of the application; (d) the generated application The jump prediction list is presented on the display device for the user to select to launch an application in the application jump prediction list; (e) updating the currently active application in the jump relationship weight matrix to jump to the relationship weight value of the next application.

Through the application jump prediction system and method provided by the present invention, the jump of the application of the mobile electronic device is closer to the user's usage habit, so that the mobile electronic device is more humanized.

1‧‧‧Mobile electronic devices

2‧‧‧ memory

3‧‧‧Display device

10‧‧‧Application Jump Prediction System

100‧‧‧Detection module

200‧‧‧Starting module

300‧‧‧Application Jump Prediction List Generation Module

400‧‧‧User interaction module

500‧‧‧ Jump Relationship Matrix Update Module

600‧‧‧ Jump relationship weight matrix

S302‧‧‧Detecting currently active applications in mobile electronic devices

S304‧‧‧ Received a trigger signal to start the application jump prediction list?

S306‧‧‧ Generate the application jump prediction list

S308‧‧‧ presenting the generated application jump prediction list on the display device

S310‧‧‧Update the application of the current activity in the jump relationship weight matrix to jump to the relationship weight of the next application

1 is a schematic diagram of an application environment of a preferred embodiment of the application of the jump prediction system of the present invention Figure.

FIG. 2 is a schematic structural diagram of a relationship weight matrix.

3 is a flow chart of a preferred embodiment of the application of the jump prediction system of the present invention.

The invention provides an application jump prediction system for solving the problem of inconvenient application jump in mobile electronic devices such as mobile phones and PDAs. The basic idea of the present invention is to provide a jump relationship weight matrix stored in the electronic device, in which the relationship weight value for each application jump to each next application is stored. The value of the relationship weight is used to quantify the probability of the jump. The larger the value of the relationship weight, the more likely it is to jump. Detecting the currently active application in the mobile electronic device, and providing a shortcut for the user to start the next application: triggering to start the application jump prediction list, and selecting, by using the application jump prediction list, the next application to be jumped . After the user selection is completed, the electronic device automatically updates the jump relationship weight matrix.

Specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

As shown in FIG. 1, it is an operational environment diagram of a preferred embodiment of the application of the jump prediction system of the present invention. The application jump prediction system 10 (hereinafter referred to as the system 10) operates in the mobile electronic device 1. The mobile electronic device 1 includes a memory 2 and a display device 3. The memory 2 includes a jump relationship weight matrix 600. The jump relationship weight matrix 600 is configured to store a relationship weight value that each application jumps to each next application, and the relationship weight value is used to quantify the possibility of the jump. The larger the relationship weight value, the greater the probability of representing the jump. In order to explain the above-described jump relationship weight matrix 600 in more detail, please refer to FIG. 2, which is a schematic structural diagram of the jump relationship weight matrix 600. The jump relationship weight matrix 600 is a two-dimensional matrix. Quantification of relationship weight values in the matrix 600 The possibility of each application jumping to each next application. Each application corresponds to multiple next applications.

The system 10 includes a detection module 100, a startup module 200, an application jump prediction list generation module 300, a user interaction module 400, and a jump relationship matrix update module 500.

The detection module 100 is configured to detect an application currently active in the mobile electronic device 1.

The startup module 200 is configured to determine whether a trigger signal for starting an application jump prediction list is received. In the preferred embodiment, a typical hotkey activation mode is adopted, that is, a hotkey is preset as a trigger signal for starting the application jump prediction list, and when the user presses the preset hotkey, the application jump prediction list is started. .

The application jump prediction list generation module 300 is configured to: when the startup module 200 receives the trigger signal for starting the application jump prediction list, capture all the next applications corresponding to the currently active application from the jump relationship weight matrix 600, And sorting the relationship weight values from large to small to generate the application jump prediction list.

The user interaction module 400 is configured to present the generated application jump prediction list on the display device 3 of the mobile electronic device 1 for the user to select to launch a next application in the application jump prediction list. Considering the case where the size of the display device 3 may be small, when the user interaction module 400 cannot display the application jump prediction list all at once on the display device 3, the page display mode is adopted in descending order of weight values. On the first page, only the next application whose relationship weight value is listed is displayed.

The jump relationship matrix update module 500 is configured to update the relationship weight values of the respective next applications corresponding to the currently active application in the jump relationship weight matrix 600 according to the following rules. The updated rule is: if the next application is selected to be launched in this jump, Then increase its relationship weight value; otherwise reduce its relationship weight value. The specific calculation process is as follows: if the next application is selected to be started in this jump, the relationship weight value is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ× W0-W0), where α is 1 and γ is 0.1.

If the next application is not selected to be started in this jump, the relationship weight value is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ×W0-W0), In the formula, α is taken as -1, and γ is taken as 0.3.

As shown in FIG. 3, it is a flowchart of applying the jump prediction method of the present invention. The method is applied to the mobile electronic device 1. The mobile electronic device 1 includes a memory 2 and a display device 3. The memory 2 stores a jump relationship weight matrix 600 for storing each application jump. The relationship weight value to each next application, the relationship weight value is used to quantify the possibility of the jump, and the larger the relationship weight value, the greater the probability of the jump. In the flowchart of the preferred embodiment of the present invention, the detection module 100 detects the currently active application in the mobile electronic device 1.

Step S304, the startup module 200 determines whether a trigger signal for starting the application jump prediction list is received. In the preferred embodiment, a typical hotkey activation mode is adopted, that is, a preset hotkey is used as a trigger signal for starting the application jump prediction list.

Step S306, when the startup module 200 receives the trigger signal for starting the application jump prediction list, the application jump prediction list generation module 300 captures all the next applications corresponding to the currently active application from the jump relationship weight matrix 600. Weight by relationship The values are arranged in descending order to generate a list of application jump predictions.

In step S308, the user interaction module 400 presents the generated application jump prediction list to the display device 3 of the mobile electronic device 1 for the user to select to launch a next application in the application jump prediction list. In view of the case where the size of the display device 3 is small, when the user interaction module 400 cannot display the current application jump prediction list all at once on the display device 3, the page display mode is employed.

In step S310, the jump relationship matrix update module 500 updates the relationship weight values of the respective next applications corresponding to the currently active application in the jump relationship weight matrix 600 according to the following rules. The updated rule is: if the next application is selected to be started in this jump, the relationship weight value is increased; otherwise, the relationship weight value is decreased. The specific calculation process is as follows: if the next application is selected to be started in this jump, the relationship weight value is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ× W0-W0), where α is 1 and γ is 0.1.

If the next application is not selected to be started in this jump, the relationship weight value is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ×W0-W0), In the formula, α is taken as -1, and γ is taken as 0.3.

It should be noted that the above embodiments are only for explaining the technical solutions of the present invention and are not intended to be limiting, and the present invention will be described in detail with reference to the preferred embodiments. Modifications or equivalents are made without departing from the spirit and scope of the invention.

1‧‧‧Mobile electronic devices

2‧‧‧ memory

3‧‧‧Display device

10‧‧‧Application Jump Prediction System

100‧‧‧Detection module

200‧‧‧Starting module

300‧‧‧Application Jump Prediction List Generation Module

400‧‧‧User interaction module

500‧‧‧ Jump Relationship Matrix Update Module

600‧‧‧ Jump relationship weight matrix

Claims (8)

An application jump prediction system, the system running in a mobile electronic device, wherein the mobile electronic device stores a jump relationship weight matrix, wherein the jump relationship weight matrix is used to store a relationship weight value of each application jump to each next application, The system includes: a detection module for detecting an application currently active in the mobile electronic device; a startup module for determining whether a trigger signal for starting the application jump prediction list is received; applying a jump prediction list generation module, When the startup module receives the trigger signal for starting the application jump prediction list, all the next applications corresponding to the currently active application are captured from the jump relationship weight matrix, and are performed in descending order of relationship weight values. Arranging, generating a jump prediction list of the application; the user interaction module, configured to present the generated application jump prediction list on the display device of the mobile electronic device, for the user to select to launch a next application in the application jump prediction list And a jump relationship matrix update module for updating the jump relationship weight matrix The relationship weight value of all the next applications corresponding to the application of the pre-active includes: increasing the relationship weight value of the next application selected to be activated in the application jump prediction list, and reducing the unselected startup in the application jump prediction list. The relationship weight value for the next application. The application jump prediction system according to claim 1, wherein the user interaction module is further configured to: when the application jump prediction list cannot be displayed on the display device of the mobile electronic device at one time, using a page display Mode, on the first page only shows the application whose relationship weight value is listed first. For example, in the application jump prediction system described in claim 1, if the next application is selected to be started in the current jump, the jump relationship matrix update module updates the relationship weight value. The procedure is as follows: the relationship weight value jumped to the next application is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ×W0-W0), where α is taken as 1 Γ0.1. For example, in the application jump prediction system described in claim 1, if the next application is not selected, the process of updating the relationship weight value by the jump relationship matrix update module is as follows: jumping to the relationship of the next application The weight value is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ×W0-W0), where α takes -1 and takes γ0.3. An application jump prediction method is applied to a mobile electronic device, where the mobile electronic device stores a jump relationship weight matrix, and the jump relationship weight matrix stores a relationship weight value that each application jumps to each next application, the method includes (a) detecting an application currently active in the mobile electronic device; (b) determining whether a trigger signal to start the application jump prediction list is received, and if so, executing step (c), otherwise ending; (c) weighting from the jump relationship All the next applications corresponding to the currently active application are captured in the matrix, and are arranged in descending order of relationship weight values to generate a jump prediction list of the application; (d) the generated application jump prediction list Presenting on the display device, the user selects to start an application in the application jump prediction list; (e) updating the current active application in the jump relationship weight matrix to jump to the relationship weight value of the next application, including: adding the application jump prediction The relationship weight value of the next application selected to be activated in the list, and the decrease in the application jump prediction list is not selected The relationship between the weight value of the start of the next application. In the application jump prediction method described in claim 5, the step (d) further includes: when the application jump prediction list cannot be displayed all at once on the display device of the mobile electronic device, adopting the page display mode, The first page only shows the relationship weight values listed first. application. As in the application jump prediction method described in claim 5, the step (e) further includes the process of updating the relationship weight value when the next application is selected as follows: the relationship weight value jumped to the next application is The current value W0 is updated to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ×W0-W0), where α is 1 and γ0.1 is taken. For example, the application jump prediction method described in claim 5, step (e) further includes the process of updating the relationship weight value when the next application is not selected as follows: jumping to the relationship weight value of the next application It is updated from the current value W0 to W1, and the relationship between W1 and W0 is W1=W0+α×(γ+γ×W0-W0), where α takes -1 and takes γ0.3.