WO2019223510A1

WO2019223510A1 - Application program preloading method and apparatus, storage medium, and mobile terminal

Info

Publication number: WO2019223510A1
Application number: PCT/CN2019/085463
Authority: WO
Inventors: 韩世广; 陈岩
Original assignee: Oppo广东移动通信有限公司
Priority date: 2018-05-21
Filing date: 2019-05-05
Publication date: 2019-11-28
Also published as: CN108681475A; CN108681475B

Abstract

Disclosed is an application program preloading method, comprising: predicting starting probabilities of candidate application programs when it is detected that an application preloading event is triggered, the starting probabilities comprising probabilities that the application programs are about to be opened; determining, according to the starting probabilities, an application program to be preloaded included in the candidate application programs and a preloading policy corresponding to the application program to be preloaded; and performing, according to the preloading policy, a corresponding preloading operation on the application program to be preloaded. Also disclosed are an application program preloading apparatus, a storage medium, and a mobile terminal.

Description

Application program preloading method, device, storage medium and mobile terminal

This application claims priority from a Chinese patent application filed with the Chinese Patent Office on May 21, 2018, with application number 201810490618.9, the entire contents of which are incorporated herein by reference.

Technical field

The embodiments of the present application relate to the technical field of application program loading, for example, to a method, a device, a storage medium, and a mobile terminal for preloading an application program.

Background technique

At present, mobile terminals such as smart phones, tablet computers, notebook computers, and smart home appliances have become essential electronic devices in people's daily lives. With the continuous intelligentization of mobile terminal devices, most mobile terminal devices are loaded with operating systems, so that mobile terminal devices can install a variety of applications to meet different needs of users.

With the continuous improvement of the configuration of mobile terminal devices, dozens or even hundreds of applications can be installed in most mobile terminal devices. As the functions of applications become more and more abundant, more resources need to be loaded when the applications run. . When the user chooses to launch an application, the mobile terminal will load the resources required for the application to start. After loading, the initial interface of the application is entered. The entire process usually takes several seconds or even ten seconds, resulting in Application startup efficiency is low and needs to be improved.

Summary of the Invention

The embodiments of the present application provide a method, a device, a storage medium, and a mobile terminal for preloading an application program, which can optimize a preloading solution for the application program.

In an embodiment, an embodiment of the present application provides a method for preloading an application program, including:

When it is detected that the application preload event is triggered, predicting the launch probability of the candidate application, the launch probability includes a probability that the application is about to be opened;

Determining, according to the startup probability, an application to be preloaded included in the candidate application and a preloading strategy corresponding to the application to be preloaded;

Perform a corresponding preload operation on the application to be preloaded according to the preload policy.

In an embodiment, an embodiment of the present application provides an application preloading device, including:

The startup probability prediction module is configured to predict a startup probability of a candidate application when an application preload event is triggered, where the startup probability includes a probability that the application is about to be opened;

An application determining module configured to determine an application to be preloaded included in the candidate application according to the startup probability;

A preloading policy determining module, configured to determine a preloading policy corresponding to the application to be preloaded according to the startup probability;

The preloading module is configured to perform a preloading operation on the preloaded application program according to the preloading policy.

In an embodiment, a computer-readable storage medium is provided in an embodiment of the present application. The storage medium stores a computer program, and when the computer program is executed by a processor, the application program according to the embodiment of the present application is preloaded. method.

In an embodiment, an embodiment of the present application provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable by the processor. When the processor executes the computer program, the processor implements the present invention. The application preloading method described in the embodiment of the application.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic flowchart of an application preloading method according to an embodiment of the present application; FIG.

2 is a schematic diagram of a relative position relationship between a preloaded active window stack and a display screen display area according to an embodiment of the present application;

3 is a schematic diagram of a relative position relationship between another preloaded active window stack and a display screen display area according to an embodiment of the present application;

4 is a schematic diagram of application interface migration provided by an embodiment of the present application;

5 is a schematic flowchart of another application preloading method according to an embodiment of the present application;

6 is a schematic flowchart of another application preloading method according to an embodiment of the present application;

FIG. 7 is a structural block diagram of an application preloading device according to an embodiment of the present application; FIG.

8 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application;

FIG. 9 is a schematic structural diagram of another mobile terminal according to an embodiment of the present application.

Detailed ways

The technical solution of the present application will be described below with reference to the drawings and embodiments. It can be understood that the embodiments described herein are only used to explain the present application, rather than limiting the present application. For ease of description, only some, but not all, structures related to the present application are shown in the drawings.

Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although flowcharts describe multiple steps as sequential processing, many of these steps can be performed in parallel, concurrently, or simultaneously. In addition, the order of one or more steps may be rearranged. The process may be terminated when its operation is completed, but may also have additional steps not included in the drawings. The processing may correspond to methods, functions, procedures, subroutines, subroutines, and so on.

FIG. 1 is a schematic flowchart of an application preloading method according to an embodiment of the present application. The method may be executed by an application preloading device, where the device may be implemented by software and / or hardware, and may generally be integrated in a mobile terminal. As shown in Figure 1, the method includes:

Step 110: When it is detected that an application preloading event is triggered, predicting a startup probability of the candidate application program.

The startup probability includes a probability that an application program is about to be opened.

Exemplarily, the mobile terminal in the embodiment of the present application may include a mobile terminal device such as a mobile phone, a tablet computer, a notebook computer, and a smart home appliance. The mobile terminal is loaded with an operating system.

Exemplarily, the triggering condition of the application preload event can be set according to the actual situation, which is not specifically limited in the embodiment of the present application. For example, an application preload event can be triggered when it is detected that the user's action meets a preset condition (such as picking up a mobile terminal, entering a screen unlock operation, or entering a mobile terminal unlock operation, etc.); or it can detect a change in the foreground application , The application preload event is triggered; or the application preload event may be triggered immediately (or after a preset period of time has elapsed) after the prediction process of the preloaded application ends; or it may be triggered at regular intervals and so on. After the application preload event is triggered, the system can detect that the application preload event has been triggered by reading a flag bit or receiving a trigger instruction, and the specific detection method is not limited in this embodiment of the present application.

In the embodiment of the present application, the candidate application programs may include all application programs installed in the mobile terminal, and may also include some application programs. Some applications may include applications that are frequently used by users, and may also include third-party applications, that is, some applications may not include applications that are rarely used by users, or may not include system applications. This embodiment of the present application does not limit the manner and quantity of candidate application programs. In an embodiment, the candidate application can be determined according to the number of times and / or the use time of one or more applications in a preset period before the current time. The preset period is, for example, 1 month, when the number of uses and / or When the usage time exceeds the corresponding threshold, the corresponding application is determined as a candidate application, or multiple applications are sorted according to the number of uses and / or the length of use, and the top-ranked application is determined as a candidate application .

In the embodiment of the present application, the startup probability includes a probability that an application program is about to be opened. Among them, the application to be opened can be understood as the application to be started next after the current application ends, and the startup probability can be used to characterize the possibility of an application becoming the next to be started.

In one embodiment, a prediction model may be used to predict the launch probability of the candidate application. The prediction model can be a machine learning model, and the algorithms used can include Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, threshold recurrent units, simple recurrent units, automatic encoding , Decision tree, random forest, feature mean classification, classification regression tree, hidden Markov, K-NearestNeighbor (KNN) algorithm, logistic regression model, Bayesian model, Gaussian model, and KL divergence (Kullback – Leibler divergence) and so on. For example, according to the training samples during prediction model training, current samples are collected, and the current samples are input into the prediction model to obtain the application to be launched and its corresponding launch probability.

In one embodiment, during the process of using the mobile terminal by the user, training samples can be collected, the training samples can be used to train the preset initial model, and finally a prediction model for the startup probability of the candidate application can be obtained. Exemplarily, the elements included in the training sample may include a time series or an order sequence in which the application is opened; may include the time, place, and frequency of the application being opened; and may include the running status of the mobile terminal, such as the mobile data network Switch status, wireless hotspot connection status, identity information of the connected wireless hotspot, currently running application, previous foreground application, the length of time the current application stays in the background, and the time when the current application was last switched to the background , Plugging and unplugging status, charging status, battery power information, and screen display duration of the headphone jack; it can also include data collected by sensors integrated in the mobile terminal, such as motion sensors, light sensors, temperature sensors, and humidity sensors, etc. .

For example, the appropriate sample elements can be selected according to the selected machine learning model, and the selected machine learning model can be determined according to the selected sample elements. The model can also be combined with the needs for prediction accuracy and prediction speed. And the selection of sample elements are not limited in the embodiments of the present application.

Step 120: Determine, according to the startup probability, an application to be preloaded included in the candidate application and a preloading strategy corresponding to the application to be preloaded.

Exemplarily, the applications to be preloaded may be understood as applications that the user may be about to open, and the applications to be preloaded may include one or more. A candidate application with a startup probability greater than a preset probability threshold may be determined as an application to be preloaded; a preset number of candidate applications with a higher startup probability may be determined as the application to be preloaded. The preset probability threshold or preset value can be set freely. For example, the preset probability threshold can be 0.2 and the preset value can be 4.

It can be understood that the larger the startup probability corresponding to an application to be preloaded, the higher the probability that the application to be preloaded will be started soon. In the embodiment of the present application, corresponding preloading policies may be set for different applications to be preloaded according to the size of the startup probability. Of course, when there is only one application to be preloaded, its corresponding preloading strategy can also be set according to its corresponding startup probability.

For example, multiple preloading strategies can be set in advance, and the difference between each two preloading strategies can be reflected in the type of preloaded resources, the number of preloaded resources, the completion of the preload operation, and the Any one or more of the time duration and the order of performing the preload operation may be related to the startup method of the application and the operating system loaded on the mobile terminal, which are not limited in the embodiments of the present application. Exemplarily, the pre-loaded resources may include resources related to at least one of an application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering. Generally, application process startup and initialization are usually the first operations performed when an application is started. Therefore, in the embodiment of the present application, multiple preloading strategies may include application process startup and initialization. Other preloading strategies may also include subsequent at least One item, such as also including application service startup, application service startup and memory allocation, application service startup, memory allocation and file content reading, application service startup, memory allocation, file content reading and network data acquisition, or application service startup, Memory allocation, file content reading, network data acquisition and interface rendering. In addition, for interface rendering (interface drawing, or interface drawing and display), more levels can be divided, such as the number of interfaces to be rendered or the form of interface rendering, and so on. The interface in the interface rendering may include a startup interface of an application, a startup animation, or an interface corresponding to one or more functions inside the application, and the like. In addition, the pre-loaded resources may also include resources that may be involved in the running process of the application, such as network video data, audio data, and application patch installation packages. For example, taking an application patch installation package as an example, some applications (such as some game applications) may be updated from time to time, and may not be available if the patch is not installed. For such applications, if the probability of their activation is predicted to be high, and If there is a patch, the application patch installation package can be downloaded or even installed in the pre-loading stage. In this way, when the user actually starts this kind of application, he / she does not need to wait for the patch installation process and can directly use the application.

In an embodiment, if a candidate application whose startup probability is greater than a preset probability threshold is determined as an application to be preloaded, interval division may be performed between the preset probability threshold and 1, and the number of divided intervals is implemented in this application. Examples are not limited. The preset probability threshold can be recorded as f, then the startup probability of the application to be preloaded will appear between f to 1, and f to 1 will be divided into intervals in advance. Take three probability intervals as an example, such as the first probability interval Is (f, m), the second probability interval is (m, n), and the third probability interval is (n, 1). Then, a corresponding preloading strategy can be set in advance for each probability interval, such as the first probability interval Corresponds to the first preloading strategy, the second probability interval corresponds to the second preloading strategy, and the third probability interval corresponds to the third preloading strategy. For the current application to be preloaded, determine which probability interval the corresponding startup probability falls into. The preloading strategy corresponding to the probability interval is determined as the preloading strategy corresponding to the application to be preloaded.

In an embodiment, a preset number of candidate applications with a higher startup probability are determined as the applications to be preloaded, and then the preset value can be determined, and the startup probability between at least one application to be preloaded can be determined. Size relationship to determine the corresponding preload strategy. Assuming that the preset value is recorded as N, then there are N applications to be preloaded, and N can be divided based on the number of intervals. The applications to be preloaded can be started from high to low according to the startup probability (of course, it can also be low to High, this application is not limited). The sequence numbers 1 to M are the first quantity interval, the sequence numbers M + 1 to L are the second quantity interval, and the sequence numbers L + 1 to N are the third quantity interval. Subsequently, a corresponding preloading strategy can be set in advance for each quantity interval, for example, the first quantity interval corresponds to the first preloading strategy, the second quantity interval corresponds to the second preloading strategy, and the third quantity interval corresponds to the third preloading strategy. For the current application to be preloaded, to determine in which quantity interval the sequence number of the corresponding startup probability falls, then determine the preloading strategy corresponding to the quantity interval as the current preloading strategy corresponding to the application to be preloaded.

Generally, the high probability of startup indicates that the user is more likely to choose the application. When setting the preload policy, the application to be preloaded with a higher probability of startup can be preferentially preloaded, or more preload resources can be set Type, or set a greater number of preload resources, or ensure a higher degree of completion of the preload operation, or set a longer time for the preload operation, and so on.

Step 130: Perform a corresponding preloading operation on the application to be preloaded according to the preloading policy.

In the embodiment of the present application, when there is only one application to be preloaded, there is no need to consider the preloading order of the applications; and when there are multiple applications to be preloaded, the multiple applications to be preloaded may be determined one by one as The current application to be preloaded and the first preload operation is performed in sequence, or more than 2 applications to be preloaded may be determined as the current to be preloaded application and the first preload operation is performed simultaneously, that is, multiple The first preload operation of the application may be performed in parallel. In addition, when the preloading strategy includes the order of performing the preloading operation, the preloading operation is performed in the order specified in the preloading strategy.

The application preloading method provided in the embodiment of the present application predicts a startup probability of a candidate application when an application preloading event is triggered, determines an application to be preloaded and a corresponding preloading strategy according to the startup probability, and follows the preloading The policy treats the preloaded application accordingly. By adopting the above technical solution, a suitable preloading strategy can be selected according to the predicted startup probability of an application that needs to be preloaded, system resources can be reasonably used for preloading, and the preloading function can be improved.

In some embodiments, determining the to-be-loaded application included in the candidate application and the pre-loading strategy corresponding to the to-be-loaded application according to the startup probability includes: changing the startup probability from high to Low-rank or low-to-high ranking, and sequentially obtain a preset number of starting probabilities from a high starting probability, and determine a candidate application corresponding to the preset number of starting probabilities as a pending application included in the candidate application. Pre-loading the application program; determining the pre-loading resource corresponding to the application to be pre-loaded according to the startup probability of the application to be pre-loaded, where the higher the startup probability is, the more pre-loading resources corresponding to the application to be pre-loaded. The advantage of this setting is that it can control the number of pre-loaded applications, which can prevent the number of pre-loads from being too small and cause a low prediction hit rate. It can also prevent the number of applications from burdening the overall system performance and wasting system resources. The higher the probability of startup, the higher the probability that the application to be preloaded is actually started by the user, more resources can be preloaded, and the speed at which it is actually started is effectively improved, while the application to be preloaded with a lower startup probability, can be Pre-loading fewer resources can save system resources, and at the same time, it can increase the startup speed when it is actually started.

In some embodiments, determining the preloaded resource corresponding to the application to be preloaded according to the startup probability of the application to be preloaded includes: dividing the application to be preloaded according to the startup probability of the application to be preloaded. It is divided into a first type of application and a second type of application, wherein the startup probability corresponding to the first type of application is greater than the startup probability corresponding to the second type of application. Determine the preloaded resources corresponding to the first type of application, including application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering; determine the preloaded resources corresponding to the second type of application Including application process startup, application process initialization, application service startup, memory allocation, and file content reading. The advantage of this setting is that it can more reasonably determine the preload resources corresponding to the applications to be preloaded with different startup probabilities. For network data acquisition and interface rendering, it may require more system resources during the preload process and consume time. It is longer, so for applications with relatively low startup probability, this part of preloading can be omitted, which can save resources such as terminal storage space, and preload more applications, and improve the prediction hit rate.

In some embodiments, when performing a preload operation for the interface rendering, the method includes: preloading an application interface corresponding to the application to be preloaded based on a pre-created preloading active window stack, wherein the preloading activity The boundary coordinates corresponding to the window stack are outside the coordinate range of the display screen. The advantage of this setting is that pre-loading the application interface can greatly complete the preparation work before the application is started, and improve the startup speed of the application to be pre-loaded without affecting the display content of the foreground application on the display screen. On the display.

In the embodiment of the present application, the active window may be understood as an independent interface that directly provides users with interaction and operation, and different terms may be used to name the interface in different operating systems. In order to facilitate understanding, the following description is made by taking an Android operating system as an example.

In the Android system, the active window is called Activity. Activity is a component responsible for interacting with the user. It provides a screen (which can be understood as a screen interface instead of a physical display screen) for the user to interactively complete a certain task. In an android application, an Activity is usually a separate screen, which can display some controls or listen to and handle user events. In the management of Activity, there are two concepts: Task stack (Task) and activity window stack (Stack). Task corresponds to an application. Task is set to store Activity. One Task can store one or more Activities, and these Activities follow the principle of "first in, first out, last in, first out". The Stack is set to manage Tasks. Generally, a Stack manages the Tasks belonging to one or more Activities that need to be displayed on a screen. A Stack can manage one or more Tasks. Of course, the Stack also follows the basics of the Stack. Management principles. The screens described here are not necessarily complete and independent display screens. Taking "two screens" as an example, these two screens may be just two areas in a complete display screen that independently display their respective display contents. Of course, if the mobile terminal has two or more independent display screens, the "two screens" may also be two independent display screens.

In the Android system, multi-window mode is supported, which can include split-screen mode, picture-in-picture mode, and FreeForm. In the multi-window mode, the stack where the application is located may have its own size, which may include the upper, lower, left, and right coordinates in a coordinate system with the upper left corner of the mobile terminal screen as the origin. For example, (a, b, c, d) generally describes a rectangular boundary, which can be expressed by the coordinates of the upper left corner and the lower right corner of the rectangle, that is, the upper left corner of the rectangle is (a, b), right The lower corner coordinate is (c, d), and such a rectangular area corresponds to the size of the Stack. The layout of the application in the stack is based on the size of the stack, which means that the application interface corresponding to the activity is displayed within the boundary of the size.

In multi-window mode, you can allow multiple applications to be visible, including both system and user visible and system only visible. Both visible to the system and the user means to be displayed on the display screen and can be seen by the user; only visible to the system means that the operating system is visible and the user is not visible, which may be obscured by the application in the foreground or as implemented in this application Show off screen.

In the embodiment of the present application, pre-loading the application interface of the application to be pre-loaded outside the display screen can be implemented based on the multi-window mechanism of the operating system, and the size corresponding to the application program is set outside the display screen through the multi-window mechanism to achieve For the purpose of being invisible to the user, so that the display content of the foreground application is not displayed on the display screen.

Generally, in the multi-window mode, there can be multiple types of stacks. For example, Home Stack represents the stack displayed by desktop applications, App Stack represents the third-party application display, and there can be other split-screen stacks. In the embodiment of the present application, a preloaded active window stack (preloaded stack) is added, which is set to represent the stack displayed by the preloaded application, and the boundary coordinates of the preloaded stack are set outside the coordinate range of the display screen, to be preloaded The application can be displayed on that Stack. For the Android system, based on the multi-window mechanism of the Android system, a new Stack dedicated to displaying preloaded applications can be created. In the embodiment of the present application, a new stack is created because the newly created preloaded stack can have its own size and visibility, thereby achieving the purpose of preloading outside the display screen.

In the embodiment of the present application, the timing for creating the preloaded stack is not limited. The preloaded stack is set to be resident by default before the mobile terminal leaves the factory, that is, the preloaded stack always exists; it can also be used when the mobile terminal is powered on or moved. It is created after the terminal is successfully unlocked; it can also be created after the application preload event is triggered (before the application to be preloaded is determined) and so on. In one embodiment, pre-loading an application interface corresponding to the application to be pre-loaded based on a pre-created pre-loaded active window stack includes: determining whether a pre-created pre-loaded active window stack exists; if not, then A preloaded active window stack is created according to a preset rule; an application interface corresponding to the application to be preloaded is preloaded based on the created preloaded active window stack. The advantage of this setting is that after determining the application to be preloaded to be preloaded, it is determined whether a preloaded stack exists. If it exists, it does not need to be created. If it does not exist, it is created, which can save system resources. It can be understood that when there are multiple applications to be preloaded for interface rendering, that is, to continuously preload multiple applications for interface rendering in a short time, the first application to be preloaded Before the program starts to load, the pre-loading stack has been created, so before the second application to be pre-loaded starts to load, the pre-loading stack exists, and the above judgment may not be necessary.

In the embodiment of the present application, the specific process of preloading the application interface corresponding to the application to be preloaded based on the preloaded stack is not limited, for example, the application interface may be drawn and displayed based on the size of the preloaded stack. In one embodiment, after the target process corresponding to the application to be preloaded is created, a task stack corresponding to the application to be preloaded is created in a pre-created preloaded active window stack, and the standby process is started in the task stack based on the target process. The active window corresponding to the pre-loaded application draws and displays the application interface corresponding to the application to be pre-loaded based on the activated active window. The advantage of this setting is that it will not interfere with the operation and display of the foreground application, ensure system stability, and effectively increase the speed of the application to be preloaded at startup. During the execution of the above steps, pre-loading of other resources may also be involved, such as application service startup, memory allocation, file content reading, and network data acquisition. The embodiments of this application do not limit the pre-loading process of other resources.

In some embodiments, the method further includes: sending a fake focus notification to the application to be preloaded, and maintaining a continuous drawing of an application interface corresponding to the application to be preloaded for a preset period of time based on the fake focus notification. And display updates. The advantage of this setting is that it can complete the drawing and display of the application interface when the application to be preloaded has the focus and is visible to the system, improving the completion of the preloading without affecting the focus of the foreground application. The focus in the embodiments of the present application is also referred to as input focus, and the fake focus and the focus corresponding to the foreground application are independent of each other. Generally, for the current Android system, the focus is unique. For example, input operations such as touch only take effect on the focus. For the input of focus information, the system and the application are consistent. Once the system changes the input focus information, it will Send information to the application that the input focus information has changed, this way to ensure that the system and application side input focus information is consistent. In the embodiment of the present application, the purpose of falsifying the focus on the application side is achieved by separating the system side and the application side from inputting focus information. In the embodiment of the present application, the focus notification for the preloaded application is forged, so that the preloaded application has focus information, but the focus information on the system side is still correct. Such processing can enable the preloaded application to draw normally and achieve the purpose of all loading. The focus exists on the system side and the application side. It can be considered as the server and the client. The system side records the application that has the focus, and the application side saves a flag to indicate whether it has focus. The timing of falsifying the input focus may be that when the Android window system adds a new window and the focus needs to be updated, a fake focus notification is generated and sent. The method of falsifying the focus may be a method of calling the client side of the window to change the focus of the window, so that the window acquires focus. In one embodiment, a fake focus notification can be sent based on the Binder mechanism. The Binder mechanism is the most commonly used method for inter-process communication of the Android system, and adopts a c / s architecture, that is, a client / service architecture.

In the embodiment of the present application, the preset time period may be designed according to actual conditions, for example, it may be within a fixed time range after starting preloading, or it may be a period from starting preloading to completing preloading, etc., which may be specifically included in the preloading strategy in. In some embodiments, the length of the preset time period includes a playing duration of starting an advertisement or starting an animation in the application to be preloaded. During the startup of some applications, some advertisements or animations are usually played. The duration of advertisements or animations usually ranges from 3 seconds to more than ten seconds. During the playback of advertisements or animations, the user may not be able to perform any operation, only Can wait for the playback to finish, wasting valuable time of the user. The advantage of this embodiment of the present application is that it can play the startup advertisement or startup animation off the screen before the application to be preloaded is launched. When the application to be preloaded is launched, it can directly enter the main page of the application or other User-operable interface, which further advances the operable time point of the application to be preloaded, reducing waiting time.

For some mobile terminals, such as mobile phones and tablet computers, in order to facilitate the use of the user, the display mode of the display screen usually includes vertical screen display and horizontal screen display. Many applications use vertical screen display by default, and Some applications display in the horizontal screen mode by default (such as some online games). During the use of the mobile terminal, some applications also switch between the horizontal and vertical screen display as the user holds the mobile terminal. In some embodiments of the present application, a boundary coordinate corresponding to the preloaded active window stack is (H, 0, 2H, H), a coordinate system corresponding to the boundary coordinate is a system coordinate, and an origin of the system coordinate is In the upper left corner of the display screen, H is the length of the long side of the display area of the display screen. That is, the side corresponding to H is the largest side of the display area of the display screen, which is the height of the display screen when displayed in the vertical screen and the width of the display screen when displayed in the horizontal screen. The purpose of this setting is to consider the horizontal screen of the display screen, the horizontal screen display of pre-loaded applications, and the normal display of some applications. FIG. 2 is a schematic diagram of a relative position relationship between a preloaded active window stack and a display screen display area according to an embodiment of the present application. As shown in FIG. 2, the display screen is in the vertical screen mode at this time, the origin of the system coordinates of the mobile terminal is the left vertex (0,0) of the display screen 201, the width direction of the display screen 201 is the X axis, and the height direction is the Y axis. The boundary coordinates corresponding to the preloaded Stack 202 are (H, 0, 2H, H), where H is the screen height, that is, the area within the solid rectangle on the left is the main screen display area, and the area within the rectangle on the right dashed line is the preload display. region. FIG. 3 is a schematic diagram of a relative position relationship between another preloaded active window stack and a display screen display area according to an embodiment of the present application. As shown in FIG. 3, the display screen is in a landscape mode at this time, the origin of the mobile terminal system coordinates is the left vertex (0,0) of the display screen 301, the height direction of the display screen 301 is the X axis, and the width direction is the Y axis. The boundary coordinates corresponding to the preloaded Stack 202 are (H, 0, 2H, H), and H is the screen height, that is, the area within the solid rectangle on the left is the main screen display area, and the area within the rectangle on the right dashed line is the preload display. region.

The reason for the pre-loaded Stack boundary is so:

The horizontal axis of the upper left corner is H, which is to prevent the display screen (also called the home screen) from being displayed on the pre-loaded application interface when the screen is horizontal, because the home screen has a horizontal screen mode in addition to the vertical screen mode. In order to prevent part of the preloaded application from being displayed in the main screen display area, the horizontal coordinate of the upper left corner of the rectangular area corresponding to the preloaded stack is set to the screen height.

The vertical coordinate of the upper left corner is 0, so that the preloaded application can correctly calculate the height of the status bar. In order to better design the user interface (UI), the Android application will customize the top status bar. If the corresponding vertical coordinate is not equal to 0, the height of the status bar may be wrong.

The horizontal axis of the lower right corner is 2H (2 times the screen height), that is, the width of the rectangle corresponding to the preloaded stack = screen height, so that the size of the preloaded stack can include the horizontal screen application when preloaded (that is, the application interface is horizontal screen) Display mode application).

The vertical coordinate of the lower right corner is H, that is, the height of the rectangle corresponding to the pre-loaded Stack = screen height, so that the size of the pre-loaded Stack can include the vertical screen application when pre-loaded.

Based on the above reasons, the size of the preloaded stack is set to (H, 0, 2H, H).

In some embodiments, determining the to-be-loaded application included in the candidate application and the pre-loading strategy corresponding to the to-be-loaded application according to the startup probability includes: determining according to the startup probability The application to be preloaded included in the candidate application program obtains current behavior state information of the user, and determines a preloading strategy corresponding to the application to be preloaded according to the current behavior state information and the startup probability. The advantage of this setting is that the preloading strategy corresponding to the application to be preloaded can be determined more reasonably. Exemplarily, the behavior state information may include posture information of the user, information of one or more operations performed by the user on the mobile terminal, physiological state information of the user, and the like. When obtaining the user's behavior status information, the user's behavior status information can be collected through the mobile terminal's own integrated sensors, etc., or it can be collected with other devices (such as wearable devices such as bracelets, watches, headphones, glasses, helmets and belts) The user's behavior status information is sent to the mobile terminal. The current behavior of the user may affect how the user uses the application. For example, for sports applications such as Keep, the application provides training videos, fitness articles, training plans, and diet recommendations. When it is determined that the user is currently fatigued based on the physiological state information, it is predicted that the user will not exercise immediately, then the latest fitness articles and other related content may be preloaded without preloading the training video; when the user is currently relaxed based on the physiological state information At this time, it is predicted that the user may exercise immediately, so the training video recorded by the current user in the training plan may be preloaded. Then when the user starts the application, there is no need to wait for the video loading process and directly watch the video to start training. For another example, for music applications, such as cool music boxes, content such as recommended songs from the server is generally displayed in the interface, such as popular song rankings or new song rankings. When it is detected that the user is running or brisk walking, it means that the user may not pay attention to the content displayed on the page, because it is difficult to see the content of the page during the exercise. Therefore, there is no need to obtain corresponding network data and pre-loading Draw the part of the interface that contains the recommended content; when it is detected that the user is stationary or walking slowly, the user may view the content of the interface. At this time, you can get the recommended song list data during the preload process and draw the corresponding interface. When the application actually starts, display it quickly.

In some embodiments, obtaining the current behavior status information of the user may include: determining whether the application to be preloaded includes a preset application program, and if yes, obtaining the current behavior status information of the user. If not, the preloading strategy corresponding to the application to be preloaded can be directly determined according to the startup probability. The advantage of this setting is that for some applications, the user's different behavior status information may not affect the way the application is used, so there is no need to set the preload policy of the application based on the behavior status, and it is not necessary to obtain User's current behavior status information saves mobile terminal power consumption. The preset application may be pushed by the server to the mobile terminal, or may be determined according to the user's usage habits of historical collection, which is not limited in the embodiment of the present application.

In some embodiments, after performing a corresponding preloading operation on the preloaded application according to the preloading policy, the method further includes: upon receiving a running instruction of the target application that has performed the preloading operation, based on the preloaded The resource launches the target application. The advantage of this setting is that when the user actually starts the application to be preloaded that has been preloaded, the target application program corresponding to the running instruction can be quickly started based on the resources that have been preloaded.

In some embodiments, if interface rendering is performed during the preloading process, when receiving a running instruction of the target application that has performed the preloading operation, the target application included in the preloading active window stack is The corresponding application interface is migrated to the display screen for display. In an embodiment, the migrating an application interface corresponding to the target application included in the preloaded active window stack to the display screen for display includes: The task stack corresponding to the target application is migrated to the top of the application active window stack, and the size information, configuration information, and visibility of the task stack are updated to implement the application interface corresponding to the target application on the display screen. display. The advantage of this setting is that it can ensure the stability of the interface migration process and ensure that no issues such as screen freezes, black screens, or slow migration speeds occur during the recovery process.

In addition, FIG. 4 is a schematic diagram of an application interface migration provided by an embodiment of the present application. As shown in FIG. 4, when a running instruction of a target application program is received, the target application program included in the active window stack is correspondingly loaded. The application interface 401 is transferred to the display screen 201 for display. In one embodiment, the task to which the preloaded application interface belongs is migrated to the top of the application activity window Stack, and the size information, configuration information, and visibility of the task are updated, thereby The application interface can be displayed normally on the display screen.

FIG. 5 is a schematic flowchart of another application preloading method according to an embodiment of the present application. The method includes the following steps:

Step 501: When it is detected that an application preload event is triggered, a preset prediction model is used to predict a startup probability of a candidate application.

Step 502: Determine a preset number of candidate applications with a higher startup probability as the applications to be preloaded.

Step 503: Divide the application to be preloaded into a first-type application and a second-type application according to a startup probability.

The startup probability corresponding to the first type of application is greater than the startup probability corresponding to the second type of application. For example, there are four preset values. It is assumed that the predicted applications to be preloaded include WeChat (startup probability 0.31), QQ (startup probability 0.23), Alipay (startup probability 0.21), and Baidu map (startup probability 0.2). Two applications (ie WeChat and QQ) with higher launch probability are determined as the first type of applications; two applications with lower launch probability (ie, Alipay and Baidu Map) are determined as the second type of applications.

Step 504: Determine a first preloading strategy corresponding to the first type of application program and a second preloading strategy corresponding to the second type of application program, respectively.

Exemplarily, determining the preloaded resources corresponding to the first type of application includes application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering; determining the second type of application corresponding The pre-loaded resources include application process startup, application process initialization, application service startup, memory allocation, and file content reading.

Step 505: Pre-load the first-type application according to the first pre-loading strategy in order from the highest starting probability, and pre-load the second-type application according to the second pre-loading strategy.

Among them, when preloading the first type of application, a preloading operation of interface rendering is involved. When performing an interface rendering preload operation, an application interface corresponding to the first type of application program is drawn and displayed based on a pre-created preloaded active window stack. The boundary coordinates corresponding to the preloaded active window stack are outside the coordinate range of the display screen. The application interface may include a startup interface, a startup animation, or a predicted target interface that a user is about to open.

Step 506: When receiving a running instruction of the target application that has been preloaded, start the target application based on the preloaded resource.

In the application preloading method provided in the embodiment of the present application, when an application preloading event is detected to be triggered, a prediction model is used to predict several applications with a high probability that a user may use, and then determined according to the startup probability of these applications. Corresponding preloading strategy, preloading operation according to the preloading strategy corresponding to each application, can make more reasonable use of system resources, and when the application is actually started by the user, start the application based on the preloaded resources, Can effectively improve the startup speed of the application.

FIG. 6 is a schematic flowchart of another application preloading method according to an embodiment of the present application. The method includes:

Step 601: When a foreground application program change is detected, a preset prediction model is used to predict a startup probability of the candidate application program.

In the embodiment of the present application, the triggering condition of the application preload event may be detecting a change in the foreground application program.

Step 602: Determine a candidate application whose startup probability is greater than a preset probability threshold as an application to be preloaded.

Step 603: Determine whether the application to be preloaded contains a preset application, and if yes, perform step 604; otherwise, perform step 606.

Step 604: Acquire the current behavior status information of the user.

Step 605: For a preset application included in the application to be preloaded, determine a corresponding preliminary preloading strategy according to the probability interval to which the corresponding startup probability belongs, and then modify the preliminary preloading strategy according to the current behavior state information; Load the remaining application programs other than the preset application program, determine the corresponding preloading strategy according to the probability interval to which the remaining application startup probability belongs, and execute step 607.

Step 606: For each application to be preloaded, determine a target probability interval to which the starting probability of the current application to be preloaded belongs, and determine the preloading strategy corresponding to the target probability interval as the preloading strategy corresponding to the current application to be preloaded. Go to step 607.

Step 607: Perform the preloading operation according to the preloading strategy corresponding to each application to be preloaded in order from the startup probability from high to low.

Step 608: When receiving a running instruction of the target application that has been preloaded, start the target application based on the preloaded resource.

It can be understood that, in the embodiment of the present application, the preloading strategy corresponding to the current application to be preloaded may be determined and the corresponding preloading operation may be performed in the order of the startup probability from high to low. For example, for the application to be preloaded with the highest startup probability, determine whether it belongs to a preset application. If so, determine the corresponding preloading strategy according to the startup probability and the current behavior state information, otherwise determine the corresponding preloading strategy based on the startup probability. , And then preload the preloaded application according to the determined preloading strategy. Then, for the application to be preloaded with the second highest startup probability, perform the similar operation described above. By analogy, the pre-loading strategy and pre-loading of the application to be pre-loaded are determined in order. The advantage of this setting is that it saves time to determine the preloading strategy. If the user has chosen to open an application with a higher probability of launching within a short time after the preloading event is triggered, the preloading operation of the application can be guaranteed Has a high degree of completion to ensure the effect of preloading.

In the application preloading method provided in the embodiment of the present application, when a foreground application change is detected, a prediction model is used to predict several applications with a high probability that the user may use, and the startup probability and the user's current behavior are combined The state information determines the preloading strategy corresponding to each application, which can more reasonably determine the personalized preloading method of the application, thereby better utilizing system resources, and based on the preloaded application when the application is actually started by the user. Starting the application with resources can effectively improve the startup speed of the application.

FIG. 7 is a structural block diagram of an application preloading device according to an embodiment of the present application. The device may be implemented by software and / or hardware, and is generally integrated in a mobile terminal. The application program may be performed by executing an application preloading method. Preloading. As shown in Figure 7, the device includes:

The startup probability prediction module 701 is configured to predict a startup probability of a candidate application when an application preload event is detected to be triggered, where the startup probability includes a probability that the application is about to be opened;

An application determining module 702, configured to determine an application to be preloaded included in the candidate application according to the startup probability;

A preloading policy determining module 703, configured to determine a preloading policy corresponding to the application to be preloaded according to the startup probability;

The preloading module 704 is configured to perform a preloading operation on the preloaded application program according to the preloading policy.

The application preloading device provided in the embodiment of the present application predicts a startup probability of a candidate application when an application preloading event is triggered, determines an application to be preloaded and a corresponding preloading strategy according to the startup probability, and follows the preloading The policy treats the preloaded application accordingly. By adopting the above technical solution, a suitable preloading strategy can be selected according to the predicted startup probability of an application that needs to be preloaded, system resources can be reasonably used for preloading, and the preloading function can be improved.

In an embodiment, the application determining module 702 is configured to:

The startup probabilities are arranged from high to low or from low to high, and a preset number of startup probabilities are sequentially obtained from a high startup probability, and a candidate application corresponding to the preset number of startup probabilities is determined as the candidate. The application to be preloaded contained in the application.

In one embodiment, the preloading policy determining module 703 is configured to:

The pre-loaded resources corresponding to the application to be pre-loaded are determined according to the startup probability of the application to be pre-loaded, where the higher the startup probability is, the more pre-loaded resources corresponding to the application to be pre-loaded.

In one embodiment, the preloaded resources include resources related to at least one of an application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering.

In an embodiment, the preloading policy determining module 703 is configured to divide the to-be-loaded application into a first-type application and a second-type application according to a startup probability of the application to be pre-loaded; The startup probability corresponding to the first type of application program is greater than the startup probability corresponding to the second type of application program;

Determine that the preloaded resources corresponding to the first type of application include application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering;

Determining the preloaded resources corresponding to the second type of application includes application process startup, application process initialization, application service startup, memory allocation, and file content reading.

In one embodiment, when performing a preload operation on the interface rendering, the preload module 704 is configured to:

The application interface corresponding to the application to be preloaded is preloaded based on a pre-created preloaded active window stack, wherein the boundary coordinates corresponding to the preloaded active window stack are outside the coordinate range of the display screen.

In an embodiment, the application determining module 702 is configured to determine, according to the startup probability, an application to be preloaded included in the candidate application;

The preloading policy determination module 703 is set to:

Get the user's current behavior status information;

Determine a preloading strategy corresponding to the application to be preloaded according to the current behavior state information and the startup probability.

In an embodiment, the device further includes:

The startup module is configured to, after performing a corresponding preload operation on the preloaded application program according to the preloading policy, and upon receiving a running instruction of the target application program that has performed the preload operation, start based on the preloaded resource. The target application.

In an embodiment, the application determining module 702 is configured to:

A candidate application whose startup probability is greater than a preset probability threshold is determined as the application to be preloaded.

Determining whether the application to be preloaded includes a preset application;

If the preset application is included in the application to be preloaded, obtaining current behavior status information of the user;

Wherein, the preset application program is pushed by the server, or determined according to the user's usage habits collected in history.

Determining a preliminary preloading strategy corresponding to the preset application according to a probability interval to which the startup probability belongs;

Modify the preliminary preloading strategy according to the current behavior state information.

In an embodiment, the startup module is further configured to:

In a case where the interface rendering is performed during the preloading operation, when receiving a running instruction of a target application that has performed a preloading operation, the target included in the preloading active window stack is The application interface corresponding to the application is migrated to the display screen for display.

In one embodiment, the startup module is configured to: migrate a task stack corresponding to the target application included in the preloaded active window stack to the top of an application active window stack, and update the size of the task stack Information, configuration information, and visibility to enable an application interface corresponding to the target application to be displayed on the display screen.

An embodiment of the present application further provides a storage medium including computer-executable instructions, where the computer-executable instructions are used to execute an application program preloading method when executed by a computer processor, the method includes:

Storage medium-any one or more types of memory devices or storage devices. The term "storage media" is intended to include: installation media such as Compact Disc Read-Only Memory (CD-ROM), floppy disks or magnetic tape devices; computer system memory or random access memory, such as dynamic random access memory Access Memory (Dynamic Random Access Memory, DRAM), Double Rate Random Access Memory (DDR Random Access Memory, DDR RAM), Static Random Access Memory (Static Random Access Memory, SRAM), and extended data output random storage Access Memory (Extended Data, Random-Access Memory, EDO, RAM), Rambus Random-Access Memory (Random-Access Memory, RAM), etc .; Non-volatile memory, such as flash memory, magnetic media (such as hard disk or Optical storage); registers or other similar types of memory elements, etc. The storage medium may further include other types of memory or a combination thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network such as the Internet. The second computer system may provide program instructions to the first computer system, and the first computer system is configured to execute the program instructions. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems connected through a network. The storage medium may store program instructions (for example, embodied as a computer program) executable by one or more processors.

Certainly, a storage medium including computer-executable instructions provided in the embodiments of the present application is not limited to the application preloading operation described above, and may also execute the application provided by any embodiment of the present application Related operations in the preload method.

The embodiment of the present application provides a mobile terminal, and the mobile terminal may integrate the application preloading device provided by the embodiment of the present application. FIG. 8 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application. The mobile terminal 800 may include: a memory 801, a processor 802, and a computer program stored on the memory 801 and executable by the processor 802. When the processor 802 executes the computer program, the application according to the embodiment of the present application is implemented. Program preloading method.

The mobile terminal provided in the embodiment of the present application can select a suitable preloading strategy according to the predicted startup probability of the application to be preloaded, reasonably utilize system resources for preloading, and improve the preloading function.

FIG. 9 is a schematic structural diagram of another mobile terminal according to an embodiment of the present application. The mobile terminal may include a housing (not shown), a memory 901, a central processing unit (CPU) 902 (and (Referred to as a processor), a circuit board (not shown in the figure), and a power supply circuit (not shown in the figure). The circuit board is disposed in a space surrounded by the housing; the CPU 902 and the memory 901 are provided on the circuit board; and the power supply circuit is provided as a plurality of circuits of the mobile terminal or The device supplies power; the memory 901 is configured to store executable program code; the CPU 902 reads the executable program code stored in the memory 901 to run a computer program corresponding to the executable program code to implement The following steps:

The mobile terminal further includes: a peripheral interface 903, a radio frequency (RF) circuit 905, an audio circuit 906, a speaker 911, a power management chip 908, an input / output (I / O) subsystem 909, Other input / control devices 910, touch screen 912, other input / control devices 910, and external ports 904, these components communicate through one or more communication buses or signal lines 907.

It should be understood that the illustrated mobile terminal 900 is only an example of a mobile terminal, and the mobile terminal 900 may have more or fewer components than those shown in the figure, and may combine two or more components. Or it can have different component configurations. The one or more components shown in the figures may be implemented in hardware, software, or a combination of hardware and software including one or more signal processing and / or application specific integrated circuits.

The following describes the mobile terminal for application preloading provided in this embodiment. The mobile terminal uses a mobile phone as an example.

Memory 901, which can be accessed by CPU 902, peripheral interface 903, etc. The memory 901 can include high-speed random access memory, and can also include non-volatile memory, such as one or more disk storage devices, flash memory Devices, or other volatile solid-state storage devices.

Peripheral interface 903, which can connect the input and output peripherals of the device to the CPU 902 and the memory 901.

I / O subsystem 909, which can connect input / output peripherals on the device, such as touch screen 912 and other input / control devices 910, to peripheral interface 903. The I / O subsystem 909 may include a display controller 9091 and one or more input controllers 9092 for controlling other input / control devices 910. Among them, one or more input controllers 9092 receive electrical signals from or send electrical signals to other input / control devices 910. Other input / control devices 910 may include physical buttons (press buttons, rocker buttons, etc.) ), Dial, slide switch, joystick, click wheel. It is worth noting that the input controller 9092 may be connected to any of the following: a keyboard, an infrared port, a universal serial bus (Universal Serial Bus, USB) interface, and a pointing device such as a mouse.

A touch screen 912, which is an input interface and an output interface between the user's mobile terminal and the user, and displays visual output to the user. The visual output may include graphics, text, icons, videos, and the like.

The display controller 9091 in the I / O subsystem 909 receives an electric signal from the touch screen 912 or sends an electric signal to the touch screen 912. The touch screen 912 detects a contact on the touch screen, and the display controller 9091 converts the detected contact into interaction with a user interface object displayed on the touch screen 912, that is, realizes human-computer interaction. The user interface object displayed on the touch screen 912 may be running Icons for games, icons connected to the appropriate network, etc. It is worth noting that the device may also include a light mouse, which is a touch-sensitive surface that does not display visual output, or an extension of the touch-sensitive surface formed by a touch screen.

The RF circuit 905 is configured to establish communication between a mobile phone and a wireless network (that is, a network side), and realize data reception and transmission of the mobile phone and the wireless network. For example, send and receive text messages, e-mail, and so on. In an embodiment, the RF circuit 905 receives and sends RF signals. The RF signals are also referred to as electromagnetic signals. The RF circuit 905 converts electrical signals into electromagnetic signals or converts electromagnetic signals into electrical signals, and communicates with the communication network through the electromagnetic signals. As well as other devices. RF circuit 905 may include known circuits for performing these functions, including, but not limited to, antenna systems, RF transceivers, one or more amplifiers, tuners, one or more oscillators, digital signal processors, codecs (COder-DECoder, CODEC) chipset, Subscriber Identity Module (SIM), and so on.

The audio circuit 906 is configured to receive audio data from the peripheral interface 903, convert the audio data into an electrical signal, and send the electrical signal to the speaker 911.

The speaker 911 is configured to restore a voice signal received by the mobile phone from the wireless network through the RF circuit 905 to a sound and play the sound to a user.

The power management chip 908 is configured to provide power and power management for the hardware connected to the CPU 902, the I / O subsystem, and peripheral interfaces.

The application preloading device, storage medium, and mobile terminal provided in the foregoing embodiments can execute the application preloading method provided in any embodiment of the present application, and have corresponding function modules and effects for executing the method. For technical details not described in detail in the foregoing embodiments, reference may be made to an application preloading method provided in any embodiment of the present application.

Claims

An application preloading method includes:

When it is detected that the application preload event is triggered, predicting the launch probability of the candidate application, the launch probability includes a probability that the application is about to be opened;

Determining, according to the startup probability, an application to be preloaded included in the candidate application and a preloading strategy corresponding to the application to be preloaded;

Perform a corresponding preload operation on the application to be preloaded according to the preload policy.
The method according to claim 1, wherein the determining, according to the startup probability, a to-be-loaded application included in the candidate application and a pre-loading strategy corresponding to the to-be-loaded application comprises:

Arranging the startup probabilities from high to low or from low to high, and sequentially obtaining a preset number of startup probabilities from a high startup probability, and determining candidate applications corresponding to the preset value of the startup probabilities as all The applications to be preloaded included in the candidate applications are described;

The preloaded resources corresponding to the application to be preloaded are determined according to the startup probability of the application to be preloaded, where the higher the startup probability is, the more preloaded resources corresponding to the application to be preloaded are.
The method according to claim 2, wherein the preloaded resources include at least one of an application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering. related resources.
The method according to claim 3, wherein determining the preloaded resource corresponding to the application to be preloaded according to a startup probability of the application to be preloaded comprises:

Classifying the to-be-loaded application into a first-type application and a second-type application according to the starting probability of the to-be-loaded application; wherein the first-type application corresponds to a greater than- Startup probability corresponding to the second type of application;

It is determined that the pre-loaded resources corresponding to the first type of application include the application process startup, the application process initialization, the application service startup, the memory allocation, the file content reading, the network data acquisition, and The interface rendering;

Determining the preloaded resource corresponding to the second type of application includes the application process startup, the application process initialization, the application service startup, the memory allocation, and the file content reading.
The method according to claim 3, wherein when performing a preloading operation for the interface rendering, comprising:

An application interface corresponding to the application to be preloaded is preloaded based on a pre-created preloaded active window stack, wherein a boundary coordinate corresponding to the preloaded active window stack is outside a coordinate range of a display screen.
The method according to claim 1, wherein the determining, according to the startup probability, a to-be-loaded application included in the candidate application and a pre-loading strategy corresponding to the to-be-loaded application comprises:

Determining an application to be preloaded included in the candidate application according to the startup probability;

Get the user's current behavior status information;

Determine a preloading strategy corresponding to the application to be preloaded according to the current behavior state information and the startup probability.
The method according to claim 1, after performing a corresponding preloading operation on the preloaded application according to the preloading policy, further comprising:

When a running instruction of a target application that has been preloaded is received, the target application is started based on the preloaded resource.
The method according to claim 1, wherein determining the to-be-loaded application included in the candidate application according to the startup probability comprises:

A candidate application whose startup probability is greater than a preset probability threshold is determined as the application to be preloaded.
The method according to claim 6, wherein the acquiring current behavior state information of a user comprises:

Determining whether the application to be preloaded includes a preset application;

If the preset application is included in the application to be preloaded, obtaining current behavior status information of the user;

Wherein, the preset application program is pushed by the server, or determined according to the user's usage habits collected in history.
The method according to claim 9, wherein determining the preloading strategy corresponding to the application to be preloaded according to the current behavior state information and the startup probability comprises:

Determining a preliminary preloading strategy corresponding to the preset application according to a probability interval to which the startup probability belongs;

Modify the preliminary preloading strategy according to the current behavior state information.
The method according to claim 5, wherein the performing a corresponding preloading operation on the preloaded application according to the preloading policy comprises:

The preloading operation includes the interface rendering;

After performing a corresponding preloading operation on the preloaded application according to the preloading strategy, the method further includes:

When a running instruction of the target application that has been preloaded is received, an application interface corresponding to the target application included in the preloading active window stack is migrated to the display screen for display.
The method according to claim 11, wherein the migrating an application interface corresponding to the target application included in the preloaded active window stack to the display screen for display comprises:

Migrate the task stack corresponding to the target application included in the preloaded active window stack to the top of the application active window stack, and update the size information, configuration information, and visibility of the task stack to achieve the target application The application interface corresponding to the program is displayed on the display screen.
An application preloading device includes:

The startup probability prediction module is configured to predict a startup probability of a candidate application when an application preload event is triggered, where the startup probability includes a probability that the application is about to be opened;

An application determining module configured to determine an application to be preloaded included in the candidate application according to the startup probability;

A preloading policy determining module, configured to determine a preloading policy corresponding to the application to be preloaded according to the startup probability;

The preloading module is configured to perform a preloading operation on the preloaded application program according to the preloading policy.
The apparatus according to claim 13, wherein the application determining module is configured to:

Arranging the startup probabilities from high to low or from low to high, and sequentially obtaining a preset number of startup probabilities from a high startup probability, and determining candidate applications corresponding to the preset value of the startup probabilities as all The application to be preloaded included in the candidate application; or

A candidate application whose startup probability is greater than a preset probability threshold is determined as the application to be preloaded.
The apparatus according to claim 14, wherein the preloading policy determination module is configured to determine a preloaded resource corresponding to the application to be preloaded according to a startup probability of the application to be preloaded, and The higher the probability, the more preloaded resources correspond to the application to be preloaded.
The device according to claim 15, wherein the preloaded resource includes at least one of an application process startup, application process initialization, application service startup, memory allocation, file content reading, network data acquisition, and interface rendering. related resources.
The apparatus according to claim 16, wherein the preloading policy determining module is configured to:

Classifying the to-be-loaded application into a first-type application and a second-type application according to the starting probability of the to-be-loaded application; wherein the first-type application corresponds to a greater than- Startup probability corresponding to the second type of application;

It is determined that the pre-loaded resources corresponding to the first type of application include the application process startup, the application process initialization, the application service startup, the memory allocation, the file content reading, the network data acquisition, and The interface rendering;

Determining the preloaded resource corresponding to the second type of application includes the application process startup, the application process initialization, the application service startup, the memory allocation, and the file content reading.
The apparatus according to claim 13, further comprising:

The startup module is configured to, after performing a corresponding preload operation on the preloaded application program according to the preloading policy, and upon receiving a running instruction of the target application program that has performed the preload operation, start based on the preloaded resource. The target application.
A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the method according to any one of claims 1-12 is implemented.
A mobile terminal includes a memory, a processor, and a computer program stored on the memory and executable by the processor. When the processor executes the computer program, any one of claims 1-12 is implemented. The method described.