WO2016155199A1

WO2016155199A1 - Processing method and device for application function data, and non-volatile computer storage medium

Info

Publication number: WO2016155199A1
Application number: PCT/CN2015/087226
Authority: WO
Inventors: 王蒙; 李冰冰; 侯文�; 宁维宇; 李一博
Original assignee: 北京百度网讯科技有限公司
Priority date: 2015-03-31
Filing date: 2015-08-17
Publication date: 2016-10-06
Also published as: CN104750824A

Abstract

A processing method and device for application function data, and a non-volatile computer storage medium. A predicting operation behavior (101) of a user is acquired, and further application function data (102) relevant to the predicting operation behavior are obtained according to the predicting operation behavior, performing memory processing on the application function data and further providing the application function data to the user (103) when the user executes the predicting operation behavior. The obtaining of application function data does not rely on a request sent by an application any longer, such that the problem of a low response speed due to the fact that the function-relevant application function data used by the user can be obtained only after the request sent by the application according to the operation behavior of a user needs to be received in the prior art can be avoided, thereby increasing the processing efficiency.

Description

Method, device and non-volatile computer storage medium for processing functional data

This application claims the priority of the Chinese patent application whose application date is March 31, 2015, and whose application number is 201510150400.5, which is entitled "Processing Method and Apparatus for Application Function Data".

Technical field

The present invention relates to a website performance improvement technology, and in particular, to a method and an apparatus for processing application function data, and a non-volatile computer storage medium.

Background technique

The page displayed in the application, sometimes referred to as the World Wide Web (Web) page, may be a Web Page written in HyperText Markup Language (HTML), ie an HTML page, or It can be a web page written in HTML and Java language, ie Java Server Page (JSP), or a web page that can also be written in other languages. When the user uses the function provided by the page of the application, the application may send a request to the processing engine used by the application according to the user's operation behavior, for example, clicking a function control, etc., so that the processing engine sends the application according to the application. Request, obtain application function data related to the function and return to the application.

However, since the processing engine needs to receive the request sent by the application according to the user's operation behavior, the function function data related to the function used by the user can be obtained, so that the response speed of the processing engine is slow, especially in the application function data. In the case where complicated calculation processing can be obtained, therefore, the efficiency of the processing of the processing engine is lowered.

Summary of the invention

Aspects of the present invention provide a processing method and apparatus for applying functional data and a non-volatile computer storage medium for improving processing efficiency.

An aspect of the present invention provides a method for processing application function data, including:

Obtain the predicted operational behavior of the user;

Obtaining application function data related to the predicted operation behavior according to the predicted operation behavior;

The application function data is stored and processed for the user to perform the predicted operation behavior, and the application function data is provided to the user.

The aspect as described above and any possible implementations further provide an implementation that includes at least one of the following operational behaviors:

An operation behavior performed immediately after the user performs the current operation behavior;

The operational behavior performed within a preset time after the user performs the current operational behavior;

The operational behavior performed by the user within at least one of a preset time range and a preset location range.

The aspect as described above, and any possible implementation manner, further provide an implementation manner, before the obtaining the predicted operation behavior of the user, the method further includes:

Performing a prediction process on the user's operational behavior to obtain the predicted operation of the user behavior.

The aspect as described above, and any possible implementation manner, further provide an implementation manner, the predictive processing of the user's operation behavior to obtain the predicted operation behavior of the user, including:

And predicting processing operation behavior to be performed by the user according to at least one of prediction environment data and historical behavior data of the user to obtain a predicted operation behavior of the user.

The aspect as described above and any possible implementations further provide an implementation, the predicted environment data comprising at least one of the following data:

User attribute data;

Forecast location data;

Forecast time data.

An aspect as described above, and any possible implementation manner, further providing an implementation manner, where the application function data is stored and processed, when the user performs the predicted operation behavior, the application function is Data is provided to users, including:

Encapsulating the application function data, and performing storage processing on the encapsulated application function data for the user to perform the predicted operation behavior, and providing the application function data to the user.

Another aspect of the present invention provides a processing apparatus for applying functional data, including:

An obtaining unit, configured to obtain a predicted operation behavior of the user;

a preparation unit, configured to obtain, according to the predicted operation behavior, application function data related to the predicted operation behavior;

And a storage unit, configured to perform storage processing on the application function data, to provide the user function data to the user when the user performs the predicted operation behavior.

An aspect of the foregoing, and any possible implementation, further providing an implementation, the apparatus further comprising a prediction unit, configured to:

Predicting processing of the user's operational behavior to obtain the predicted operational behavior of the user.

An aspect of the foregoing, and any possible implementation manner, further provide an implementation manner, where the prediction unit is specifically used to

Performing a prediction process on an operation behavior to be performed by the user according to at least one of the predicted environment data and the historical behavior data of the user to obtain a prediction operation of the user behavior.

User attribute data;

Forecast location data;

Forecast time data.

The foregoing aspect and any possible implementation manner further provide an implementation manner, where the storage unit is specifically configured to

In another aspect of the invention, an apparatus is provided, comprising:

One or more processors;

Memory

One or more programs, the one or more programs being stored in the memory, when executed by the one or more processors:

Obtain the predicted operational behavior of the user;

Performing storage processing on the application function data for the user to perform the prediction operation The application function data is provided to the user when the behavior is performed.

In another aspect of the present invention, a nonvolatile computer storage medium storing one or more programs when the one or more programs are executed by a device causes The device:

Obtain the predicted operational behavior of the user;

According to the foregoing technical solution, the embodiment of the present invention obtains the application function data related to the predicted operation behavior according to the predicted operation behavior of the user, and further performs storage processing on the application function data according to the predicted operation behavior. When the user performs the predicted operation behavior, the application function data is provided to the user, and since the acquisition of the application function data is no longer dependent on the request sent by the application, it is possible to avoid the need to receive in the prior art. After the application sends a request according to the user's operation behavior, the problem of slow response speed caused by the function-related application function data used by the user can be obtained, thereby improving the processing efficiency.

In addition, with the technical solution provided by the present invention, since the obtaining of the application function data is no longer dependent on the request sent by the application, it is possible to further obtain the request sent by the application while further obtaining the predicted operation behavior according to the user. The predicted operational behavior Relevant application function data, therefore, can effectively improve the utilization of processing resources.

In addition, with the technical solution provided by the present invention, since the acquisition of the application function data is no longer dependent on the request sent by the application, when the user performs the predicted operation behavior, the application function data related to the predicted operation behavior can be immediately provided. To the user, therefore, the real-time nature of the processing can be effectively improved.

DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are the present invention. For some embodiments, other drawings may be obtained from those of ordinary skill in the art in light of the inventive workability.

FIG. 1 is a schematic flowchart of a method for processing application function data according to an embodiment of the present invention;

2 is a schematic structural diagram of a device for processing function data according to another embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a device for processing function data according to another embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Is a part of the embodiment of the invention, not all Example. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

It should be noted that the terminals involved in the embodiments of the present invention may include, but are not limited to, a mobile phone, a personal digital assistant (PDA), a wireless handheld device, a tablet computer, and a personal computer (Personal Computer, PC). ), MP3 player, MP4 player, wearable device (for example, smart glasses, smart watches, smart bracelets, etc.).

In addition, the term "and/or" herein is merely an association relationship describing an associated object, indicating that there may be three relationships, for example, A and/or B, which may indicate that A exists separately, and A and B exist at the same time. There are three cases of B alone. In addition, the character "/" in this article generally indicates that the contextual object is an "or" relationship.

FIG. 1 is a schematic flowchart of a method for processing application function data according to an embodiment of the present invention, as shown in FIG. 1 .

101. Obtain a predicted operation behavior of the user.

The so-called predictive operational behavior refers to the operational behavior that the user is most likely to perform, and may include, but is not limited to, at least one of the following operational behaviors:

102. Obtain, according to the predicted operation behavior, application function data related to the predicted operation behavior.

The so-called application function data refers to some related data that the application needs to obtain when the user uses the function provided by the application page. For example, when the payment function provided by the page used by the user, the application needs to obtain the payment amount, payment method, payment. Account and other data.

103. Perform storage processing on the application function data, when the user performs the predicted operation behavior, and provide the application function data to a user.

It should be noted that some or all of the execution entities of 101 to 103 may be applications located in the local terminal, or may be plug-ins or software development kits (SDKs) installed in applications located in the local terminal. The functional unit may also be a processing engine located in the network side server, or may be a distributed system located on the network side, which is not specifically limited in this embodiment.

It is to be understood that the application may be a local application (nativeApp) installed on the terminal, or may be a web application (webApp) of the browser on the terminal, which is not limited in this embodiment.

In this way, by obtaining the predicted operation behavior of the user, and obtaining the application function data related to the predicted operation behavior according to the predicted operation behavior, the application function data can be stored and processed for the user to perform the When the operation behavior is predicted, the application function data is provided to the user, and since the acquisition of the application function data is no longer dependent on the request sent by the application, it is possible to avoid the prior art that the application needs to be received according to the user's operation behavior. After the request is sent, the problem of slow response speed caused by the function-related application function data used by the user can be obtained, thereby improving the processing efficiency.

Optionally, in a possible implementation manner of the embodiment, before 101, a prediction process may be further performed on the operation behavior of the user to obtain a predicted operation behavior of the user.

Specifically, the operation behavior that the user is to perform is specifically performed according to at least one of the predicted environment data and the historical behavior data of the user, to obtain a predicted operation behavior of the user.

The so-called predicted environmental data refers to the environmental data related to the prediction processing, and may include, but is not limited to, at least one of the following data:

User attribute data;

Forecast location data;

Forecast time data.

The predicted location data is location data corresponding to a preset location range, for example, a location range such as a restaurant.

The predicted time data is time data corresponding to a preset time range, for example, a time range such as Valentine's Day.

The attribute data of the user may include, but is not limited to, at least one of the following data:

User's gender;

The age of the user;

User's occupation;

User's education; and

User's hobby.

In a specific implementation process, the attribute data of the user may be obtained according to the registration information of the user.

In another specific implementation process, the attribute data of the user may be obtained according to the historical behavior data of the user.

The historical behavior data may include, but is not limited to, at least one of a user search log and a user click log, which is not specifically limited in this embodiment.

Currently, some websites record their user behavior for specific users. The data obtained from these records is the historical behavior data of the user.

For example, based on the historical behavior of the registered user, the historical behavior data of the user is recorded. In this case, it is necessary to record the historical behavior generated by the registered user after login to form historical behavior data of the registered user. Therefore, the historical behavior data at this time is premised on requiring a registered user to perform a login operation.

Or, for example, the historical behavior data of the user is recorded according to the historical behavior of the browser user. In this case, it is necessary to record the historical behavior generated by any user after using the browser of the same terminal to form historical behavior data of the browser user. Therefore, the historical behavior data at this time is premised on the need to use a specific browser for browsing operations, and there is no specificity for a specific user.

Or, for example, the historical behavior data of the user is recorded according to the historical behavior of the end user. In this case, it is necessary to record the historical behavior generated by any user after using the same terminal to form historical behavior data of the end user. Therefore, the historical behavior data at this time is premised on the need to use a specific terminal for browsing operations, and there is no specificity for a specific user.

Specifically, the existing data mining methods may be used to mine the historical behavior data of the user to determine the attribute data of the user, for example, classification, regression analysis, clustering, association rules, features, changes, and deviation analysis or The data mining method such as Web page mining is not particularly limited in this embodiment.

In a specific implementation process, specifically, according to the predicted environmental data, The application feature data corresponding to the predicted environment data, for example, shopping feature data, meal feature data, travel feature data, and the like. Then, according to the obtained application feature data, a predicted operation behavior of a specific user (for example, the user or the like) or a specific user group may be obtained, for example, a shopping operation behavior such as adding a shopping cart, a payment, or the like, for example, Group meal, meal order and other meal operation behaviors, etc., as the predicted operation behavior of the user.

In the implementation process, after the predicted operation behavior of the user is obtained, the correspondence between the user and the predicted environment data and the predicted operation behavior may be recorded. Specifically, the correspondence between the user identification information of the user and the predicted environment data and the predicted operation behavior may be specifically recorded.

Then, in 101, the current environment data and the current user's user identification information may be specifically obtained, and then the recorded correspondence relationship may be used to obtain the predicted environment data corresponding to the user's user identification information, and the current environmental data. Consistent with the predicted environment data, the predicted operation behavior corresponding to the user identification information of the user may be acquired as the predicted operation behavior of the user.

The so-called current environmental data refers to environmental data related to the current user, and may include but is not limited to at least one of the following data:

User attribute of the user;

User's user location;

current time.

In a specific implementation process, the user location of the user may be obtained according to the positioning data of the user.

The so-called user positioning data may specifically adopt various existing positioning technologies for the terminal used by the user, for example, a Global Positioning System (GPS). The positioning result of the terminal, that is, the geographical location data of the location of the terminal obtained by the positioning technology such as the technology, the wireless compatibility (Wi-Fi) (Wi-Fi) positioning technology or the base station positioning technology, is not performed in this embodiment. Specially limited.

In another specific implementation process, the user location of the user may be obtained according to the IP address of the terminal used by the user.

In another specific implementation process, according to the historical behavior data of the user, some operation behaviors having association relationships may be obtained. If the user has performed or is performing one of the operation behaviors, then another An operational behavior acts as a predictive operational behavior for the user.

In the implementation process, after obtaining the predicted operation behavior of the user, the correspondence between the user and the operational behavior having the associated relationship may be recorded. Specifically, the correspondence between the user identification information of the user and the operation behavior having the associated relationship may be specifically recorded.

Then, in 101, the current operation behavior of the current user and the user identification information of the user may be specifically obtained, and then the recorded correspondence relationship may be utilized to obtain an operation having an association relationship corresponding to the user identification information of the user. Behavior, if the current operational behavior is one of the operational behaviors, then another operational behavior can be obtained as the predicted operational behavior of the user.

It should be noted that, in the above two specific implementation processes, the user identification information of the user refers to information for uniquely identifying a user.

For example, the user identification information of the user may be a user identity (IDentity, ID) assigned by the website to the user.

When users use certain services of the website, they need to register an account. At this time, the website assigns the user an identity that uniquely identifies the user, that is, the user identity. In this way, in use When a user logs in to a website, the website can provide a corresponding service to the user according to the user identity of the user.

Or, for example, the user identification information of the user may be a website identifier generated by the website for the user.

The so-called website identifier may be a cookie identifier (CookieID), or may also be an ID of a user identity mapping, for example, a Baidu ID (Baidu ID).

Cookies, and sometimes their plural forms of cookies, refer to the data (usually encrypted) that some websites store on the user's local terminal in order to identify the user's identity and perform session tracking. At this time, when users use certain services of the website, they do not need to register an account, and the website can use cookies to track the user's habit of visiting the website, for example, when to visit, which pages are accessed, and the time spent on each page. ,Wait. In this way, the correspondence between the cookie identifier and the historical behavior data can be established. Using this information, on the one hand, it can provide users with personalized services, on the other hand, it can also be used as a tool to understand the behavior of all users, and has certain reference value for the improvement of website business strategy. The website can obtain the cookie information of the application by using the method in the prior art. For example, burying a page on a website (ie, placing a 1x1 invisible pixel), the first time the app accesses the page, the site assigns a unique cookieID to the app to create a cookie object on the app. The cookie information is formed by storing the user behavior data of the user on the terminal local to the user. In this way, the application can send the cookie information to the website at a specified time. For example, the cookie information can be sent to the website when the application requests the same website next time.

Optionally, in a possible implementation manner of the embodiment, in the foregoing, the application function data may be encapsulated and processed, and the application function data after the encapsulation is performed. The application function data is provided to the user when the storage process is performed for the user to perform the predicted operation behavior.

Specifically, the application function data may be encapsulated according to an internet protocol used, for example, a HyperText Transfer Protocol (HTTP), to obtain encapsulation data based on the internet protocol.

In this embodiment, the storage processing performed may specifically store the content to be stored, that is, the application function data or the application function data after the package, in a storage device of the terminal.

In a specific implementation process, the storage device of the terminal may store the device at a slow speed, which may be a hard disk of the computer system, or may be a non-operating memory of the mobile phone, that is, physical memory, for example, a read-only memory (Read-Only) The memory, the ROM, the memory card, and the like are not particularly limited in this embodiment.

In another specific implementation process, the storage device of the terminal may also be a fast storage device, which may be a memory of the computer system, or may be a running memory of the mobile phone, that is, system memory, for example, a random access memory (Random Access Memory). , RAM, etc., this embodiment is not particularly limited.

In this embodiment, the application function data related to the predicted operation behavior is obtained according to the predicted operation behavior of the user, and the application function data related to the predicted operation behavior is obtained, so that the application function data can be stored and processed for the user. When the predictive operation behavior is performed, the application function data is provided to the user, and since the acquisition of the application function data is no longer dependent on the request sent by the application, it is possible to avoid the prior art that the application needs to be received according to the user. After the request sent by the operation behavior can obtain the function of the application function data related to the function used by the user, the response speed is slow, thereby improving the processing. effectiveness.

In addition, with the technical solution provided by the present invention, since the obtaining of the application function data is no longer dependent on the request sent by the application, it is possible to further obtain the request sent by the application while further obtaining the predicted operation behavior according to the user. The application function data related to the prediction operation behavior is related, and therefore, the utilization rate of the processing resource can be effectively improved.

It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence. Because certain steps may be performed in other sequences or concurrently in accordance with the present invention. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

FIG. 2 is a schematic structural diagram of a device for processing function data according to another embodiment of the present invention, as shown in FIG. 2 . The processing device for applying the function data of the present embodiment may include an obtaining unit 21, a preparing unit 22, and a storage unit 23. The obtaining unit 21 is configured to acquire the predicted operation behavior of the user, and the preparing unit 22 is configured to obtain the application function data related to the predicted operation behavior according to the predicted operation behavior, and the storage unit 23 is configured to use the application The function data is stored and processed for the user to perform the predicted operation behavior, The application function data is provided to the user.

It should be noted that part or all of the processing device for applying the function data provided in this embodiment may be an application located in the local terminal, or may be a plug-in or a software development kit (Software) disposed in an application located in the local terminal. The functional unit, such as the development kit (SDK), may also be a processing engine located in the network side server, or may be a distributed system located on the network side, which is not specifically limited in this embodiment.

Optionally, in a possible implementation manner of the embodiment, as shown in FIG. 3, the processing device for applying the function data provided by this embodiment may further include a prediction unit 31, configured to operate on the user. The behavior is subjected to prediction processing to obtain the predicted operational behavior of the user.

Specifically, the prediction unit 31 may be configured to: perform prediction processing on an operation behavior to be performed by the user according to at least one of prediction environment data and historical behavior data of the user, to obtain the user Predict operational behavior.

User attribute data;

Forecast location data;

Forecast time data.

Optionally, in a possible implementation manner of the embodiment, the storage unit 23 may be specifically configured to perform encapsulation processing on the application function data, and perform storage processing on the application function data after encapsulation. The application function data is provided to the user when the user performs the predicted operation behavior.

It should be noted that the method in the embodiment corresponding to FIG. 1 can be implemented by using the application function data provided in this embodiment. For details, refer to related content in the embodiment corresponding to FIG. 1, and details are not described herein again.

In this embodiment, the acquiring unit obtains the predicted operation behavior of the user, and then the preparation unit obtains the application function data related to the predicted operation behavior according to the predicted operation behavior, so that the storage unit can store the application function data. Processing, for the user to perform the predicted operation behavior, providing the application function data to the user, since the acquisition of the application function data is no longer dependent on the request sent by the application, so that the prior art can be avoided. After receiving the request sent by the application according to the user's operation behavior, the problem of slow response speed caused by the function function data related to the function used by the user can be obtained, thereby improving the processing efficiency.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present invention, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or It is implemented in the form of hardware plus software functional units.

The above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium. The above software functional unit is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods of the various embodiments of the present invention. Part of the steps. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not limited thereto; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that The technical solutions described in the foregoing embodiments are modified, or the equivalents of the technical features are replaced. The modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

A method for processing application function data, comprising:

Obtain the predicted operational behavior of the user;

Obtaining application function data related to the predicted operation behavior according to the predicted operation behavior;

The application function data is stored and processed for the user to perform the predicted operation behavior, and the application function data is provided to the user.
The method of claim 1 wherein the predictive operational behavior comprises at least one of the following operational behaviors:

An operation behavior performed immediately after the user performs the current operation behavior;

The operational behavior performed within a preset time after the user performs the current operational behavior;

The operational behavior performed by the user within at least one of a preset time range and a preset location range.
The method according to claim 1 or 2, wherein before the obtaining the predicted operation behavior of the user, the method further comprises:

Predicting processing of the user's operational behavior to obtain the predicted operational behavior of the user.
The method according to claim 3, wherein the predictive processing of the user's operational behavior to obtain the predicted operational behavior of the user comprises:

And predicting processing operation behavior to be performed by the user according to at least one of prediction environment data and historical behavior data of the user to obtain a predicted operation behavior of the user.
The method of claim 4 wherein said predicted environment data comprises at least one of the following data:

User attribute data;

Forecast location data;

Forecast time data.
The method according to any one of claims 1 to 5, wherein the application function data is stored and processed for the user to perform the predicted operation behavior, and the application function data is Provided to users, including:

Encapsulating the application function data, and performing storage processing on the encapsulated application function data for the user to perform the predicted operation behavior, and providing the application function data to the user.
A processing device for applying functional data, comprising:

An obtaining unit, configured to obtain a predicted operation behavior of the user;

a preparation unit, configured to obtain, according to the predicted operation behavior, application function data related to the predicted operation behavior;

And a storage unit, configured to perform storage processing on the application function data, to provide the user function data to the user when the user performs the predicted operation behavior.
The apparatus of claim 7, wherein the predictive operational behavior comprises at least one of the following operational behaviors:

An operation behavior performed immediately after the user performs the current operation behavior;

The operational behavior performed within a preset time after the user performs the current operational behavior;

The user executes within at least one of a preset time range and a preset position range Operational behavior.
Device according to claim 7 or 8, characterized in that the device further comprises a prediction unit for

Predicting processing of the user's operational behavior to obtain the predicted operational behavior of the user.
The apparatus according to claim 9, wherein said prediction unit is specifically configured to

And predicting processing operation behavior to be performed by the user according to at least one of prediction environment data and historical behavior data of the user to obtain a predicted operation behavior of the user.
The apparatus of claim 10, wherein the predicted environment data comprises at least one of the following data:

User attribute data;

Forecast location data;

Forecast time data.
The device according to any one of claims 7 to 11, wherein the storage unit is specifically used for

Encapsulating the application function data, and performing storage processing on the encapsulated application function data for the user to perform the predicted operation behavior, and providing the application function data to the user.
A device that includes:

One or more processors;

Memory

One or more programs, the one or more programs being stored in the memory, when executed by the one or more processors:

Obtain the predicted operational behavior of the user;

Obtaining application function data related to the predicted operation behavior according to the predicted operation behavior;

The application function data is stored and processed for the user to perform the predicted operation behavior, and the application function data is provided to the user.
A non-volatile computer storage medium storing one or more programs, when the one or more programs are executed by a device, causing the device to:

Obtain the predicted operational behavior of the user;

Obtaining application function data related to the predicted operation behavior according to the predicted operation behavior;

The application function data is stored and processed for the user to perform the predicted operation behavior, and the application function data is provided to the user.