CN110705637A - User classification method and device based on application installation list information and electronic equipment - Google Patents
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Abstract
The invention discloses a user classification method and device based on application installation list information, wherein the method comprises the following steps: obtaining historical user information data, wherein the historical user information data comprises application installation list information and user types; training and generating a user type judgment model based on the historical user information data; acquiring application installation list information of a current user; the application installation list information of the current user is input into the user type judgment model, the current user type is judged and obtained, timeliness and environment dependence are avoided, the accuracy of judging the user type through the user type judgment model is improved, and accurate marketing can be carried out on the user type which is judged timely and accurately so as to meet the application diversification requirement.
Description
Technical Field
The invention relates to the field of computer information processing, in particular to a user classification method and device based on application installation list information, electronic equipment and a computer readable medium.
Background
In internet competition, services for users are continuously improved, user experience is improved, and users need to be classified based on user attributes, so that user needs can be known more effectively, and services can be provided for the users more effectively. The existing user classification has timeliness and market environment dependence, so once the user attribute changes, the user cannot be accurately served.
Disclosure of Invention
In view of the above, the present specification has been developed to provide a method and apparatus for user classification based on application installation list information that overcomes or at least partially solves the above-mentioned problems.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows, and in part will be obvious from the description, or may be learned by practice of the present disclosure.
In a first aspect, the present specification provides a method for user classification based on application installation list information, comprising:
obtaining historical user information data, wherein the historical user information data comprises application installation list information and user types;
training and generating a user type judgment model based on the historical user information data;
acquiring application installation list information of a current user;
and inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
In an exemplary embodiment of the present disclosure, the acquiring application installation list information of the current user includes:
acquiring an application summary table;
and calling an application program interface to detect and obtain the application installation list information of the current user based on the application summary table.
In an exemplary embodiment of the present disclosure, the invoking an application program interface to detect and obtain the application installation list information of the current user based on the application summary table includes:
judging whether the application of the application summary table can jump or not;
and if so, generating application installation list information of the current user for recording the jump application.
In an exemplary embodiment of the disclosure, after the determining and acquiring of the current user type is finished, the application installation list information of the current user is used as the application installation list information of the historical user.
In an exemplary embodiment of the present disclosure, after the determining the current user type, the method further includes:
and determining the wind control and/or marketing strategy of the current user based on the current user type.
In an exemplary embodiment of the present disclosure, the acquiring application installation list information of the current user includes:
acquiring first application installation list information of a current user in real time;
acquiring second application installation list information of a current user in real time, wherein the acquisition time of the first application installation list information of the current user is earlier than that of the second application installation list information of the current user;
and judging whether the first application installation list information of the current user is consistent with the second application installation list information of the current user, and if not, taking the second application installation list information of the current user as the application installation list information of the current user.
In a second aspect, the present specification provides an apparatus for user classification based on application information data, comprising:
the system comprises a first information module, a second information module and a third information module, wherein the first information module is used for acquiring historical user information data, and the historical user information data comprises application installation list information and user types;
the user type judgment model module is used for training and generating a user type judgment model based on the historical user information data;
the second information module is used for acquiring the application installation list information of the current user;
and the user type module is used for inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
In an exemplary embodiment of the present disclosure, the acquiring application installation list information of the current user includes:
acquiring an application summary table;
and calling an application program interface to detect and obtain the application installation list information of the current user based on the application summary table.
In an exemplary embodiment of the present disclosure, the invoking an application program interface to detect and obtain the application installation list information of the current user based on the application summary table includes:
judging whether the application of the application summary table skips;
and if so, generating application installation list information of the current user for recording the jump application.
In an exemplary embodiment of the present disclosure, after the determining and obtaining the current user type, the application installation list information of the current user is used as the application installation list information of the historical user.
In an exemplary embodiment of the present disclosure, after the determining and obtaining the current user type, the method further includes:
and determining the wind control and/or marketing strategy of the current user based on the current user type.
In an exemplary embodiment of the present disclosure, the acquiring application installation list information of the current user includes:
acquiring first application installation list information of a current user in real time;
acquiring second application installation list information of a current user in real time, wherein the acquisition time of the first application installation list information of the current user is earlier than that of the second application installation list information of the current user;
and judging whether the first application installation list information of the current user is consistent with the second application installation list information of the current user, and if not, acquiring the second application installation list information of the current user.
In a third aspect, the present specification provides a server comprising a processor and a memory: the memory is used for storing a program of any one of the methods; the processor is configured to execute the program stored in the memory to implement the steps of any of the methods described above.
In a fourth aspect, the present specification provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any of the above methods.
The method and the device acquire historical user information data in real time, train to generate a user type judgment model, and substitute application installation list information of a current user into the user type judgment model to obtain the current user type, wherein the historical user information data is updated in real time, so the data has diversity, timeliness and environmental dependence are avoided, the accuracy of judging the user type through the user type judgment model is improved, and in addition, the user type is also updated in real time, so the user type which is timely and accurately judged can be accurately marketed to meet the application diversification requirement.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive faculty.
Fig. 1 is a flow diagram illustrating a method for user categorization based on application installation list information in accordance with an exemplary embodiment.
Fig. 2 is a block diagram illustrating an apparatus for user classification based on application installation list information according to another exemplary embodiment.
FIG. 3 is a block diagram illustrating a server in accordance with an example embodiment.
FIG. 4 is a schematic diagram illustrating a computer-readable medium in accordance with an exemplary embodiment.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.
Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.
In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these terms should not be construed as limiting. These phrases are used to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention.
The term "and/or" and/or "includes any and all combinations of one or more of the associated listed items.
The invention provides a user classification method based on application installation list information, which is used for solving the current situation that the user classification accuracy is not high in the prior art, and in order to solve the problem, the general idea of the invention is as follows:
a method of user classification based on application installation list information, comprising:
obtaining historical user information data, wherein the historical user information data comprises application installation list information and user types;
training and generating a user type judgment model based on the historical user information data;
acquiring application installation list information of a current user;
and inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
The method of the embodiment trains a plurality of groups of historical user types and corresponding application installation list information acquired in real time to obtain a user type judgment model, and then substitutes the application installation list information of the current user into the user type judgment model to obtain the type of the current user, thereby improving the accuracy of user classification.
The technical solution of the present invention will be described and explained in detail by means of several specific examples.
Referring to fig. 1, a method for classifying users based on application installation list information includes:
s101: obtaining historical user information data, wherein the historical user information data comprises application installation list information and user types.
The application installation list information is application information installed on the user terminal, and includes application attributes and the like, and the terminal can be a mobile phone or a computer and the like. Each historical user type corresponds to one application installation list information, the obtained historical user information data comprises a plurality of groups of historical user types and corresponding application installation list information, and the more perfect the obtained groups are, the higher the accuracy of the later-stage judgment of the user type of the current user is, so that the historical user information data needs to be obtained in real time.
The historical user information data can be historical data obtained through judgment of the user type judgment model, and can also be data obtained through other analysis, including historical data input through investigation of the user type.
The historical user information data acquired here is intended to establish a user type judgment model. Therefore, the diversity of the data is beneficial to improving the accuracy of judging the user type through the user type judging model, and the timeliness and the dependence on the environment are avoided.
S102: and training and generating a user type judgment model based on the historical user information data.
The generated user type judgment model is trained to judge the type of the current user.
S103: and acquiring the application installation list information of the current user.
In an embodiment of this specification, the acquiring of the application installation list information of the current user includes:
acquiring an application summary table;
and calling an application program interface to detect and obtain the application installation list information of the current user based on the application summary table.
The application installation list information of the current user is obtained in the state that the host application is opened, the application summary table comprises all application information except the host application, an application program interface is called to detect the applications on the application summary table one by one, the applications installed on the terminal used by the current user are recorded, and the application installation list information of the current user is generated.
In an embodiment of this specification, the obtaining, by invoking an application program interface to detect based on the application summary table, the application installation list information of the current user includes:
judging whether the application of the application summary table can jump or not;
and if so, generating application installation list information of the current user for recording the jump application.
The application program interface judges the applications in the application summary list one by one, judges whether the applications can jump on the terminal, records the jumped applications if the applications can jump, and finally summarizes the jumped applications to generate the application installation list information of the current user.
The Application Programming Interface (API) is a predefined function that is intended to provide applications and developers the ability to access a set of routines based on certain software or hardware without accessing source code or understanding the details of the internal workings. The application program interface mainly focuses on a business logic layer of a system architecture, and can call a specific application program interface through a tool or a code mode, obtain output and record the response of the system. Whether the resources exposed by the API are listed, created, modified and calculated properly can be verified, so that the application program interface is utilized to judge whether the application of the application summary table can be jumped or not, and the application capable of jumping is obtained. More specifically, at runtime, the system determines whether an installed application is registered to handle a Universal Resource Locator (URL), which may have a generic scheme such as http, https, tel, or facetime, or a custom scheme. False if the application installed on the terminal is not registered for processing the solution of the universal resource locator or the solution of the universal resource locator is not declared in the info. Otherwise true. When this method returns true, the system ensures that subsequent calls to the open (options: completionhandler) method with the same universal resource locator will successfully launch the application that can handle the universal resource locator. The return value does not indicate the validity of the universal resource locator, whether the specified resource exists, or, in the case of a universal link, whether an installed application is registered in response to the universal link. This method always returns false for non-declared scenarios, regardless of whether the appropriate application is installed.
It should be noted that, besides the application installation list information of the current user obtained by detecting through the application program interface, the application installation list information of the current user may also be obtained by methods such as identification and reading.
In an embodiment of this specification, the acquiring of the application installation list information of the current user includes:
acquiring first application installation list information of a current user in real time;
acquiring second application installation list information of a current user in real time, wherein the acquisition time of the first application installation list information of the current user is earlier than that of the second application installation list information of the current user;
and judging whether the first application installation list information of the current user is consistent with the second application installation list information of the current user, and if not, taking the second application installation list information of the current user as the application installation list information of the current user.
The current user updates the application installed on the terminal, including uninstalling or reinstalling, and needs to determine the user type of the current user in real time, so after the current user updates the application installed on the terminal, the current user needs to obtain the application installation list information of the current user again to determine the current user type of the current user. Therefore, the application installation list of the current user is obtained in real time, whether the first application installation list information and the second application installation list information are consistent or not is judged based on the application installation list of the current user obtained at different time points, namely the first application installation list information and the second application installation list information, if so, the current user does not update the application installed on the terminal, if not, the current user updates the application installed on the terminal, and at the moment, the second application installation list information obtained at a later time point is used as the application installation list information of the current user.
In addition, if the first application installation list information and the second application installation list information are not consistent, the deletion result can be marked to indicate that the user updates the application installed on the terminal. And if the difference between the first application installation list information and the second application installation list information is increased, the sharing of stolen or replaced terminals can be marked.
Here, the acquisition of the application installation list information of the current user is acquired with the purpose of determining the user type judgment model substitution content.
S104: and inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
In an example of user classification, the installation list information of the current user includes a plurality of loan application, and the user type of the current user is a user with a long loan risk.
In another example, if the installation list information of the current user contains a plurality of shopping applications, the user type of the current user is a consumer user.
In another example, the installation list information of the current user includes a plurality of social class applications, and the user type of the current user is a single white-collar type user.
In another example, the installation list information of the current user contains multiple applications of the same vendor, and the user type of the current user is a potential user of the vendor. Further, the application includes a loan application, and the user type of the current user is a group user with financial attributes.
After S104, further comprising:
and taking the application installation list information of the current user as the application installation list information of the historical user.
The method and the device realize real-time updating of historical user information data, and are beneficial to improving the accuracy of judging the user type through the user type judging model.
After S104, further comprising:
and determining the wind control and/or marketing strategy of the current user based on the current user type.
The accuracy of user type judgment is improved, and accurate wind control and/or marketing strategies for the current user are facilitated. For example: the system can carry out wind control on users with multi-head loan risks or carry out shopping information push and other strategies on consumer users.
In summary, the existing risk rating of application classification and installation list requires a large amount of user behavior data for analysis, analysis results of different products (based on different host applications) are hardly universal, and meanwhile, certain timeliness and market environment dependence (dynamic change) exist, so that dynamic analysis and dynamic configuration are required for the judged pre-installed data. The existing results are input into a decision engine, different rules can be hit, and different operation strategies are triggered, such as: debit actuations, merchandise actuations, event notifications, and customer control, among others.
The method achieves the following technical effects:
according to the method, historical user information data are obtained in real time, a user type judgment model is generated through training, application installation list information of a current user is substituted into the user type judgment model, the current user type is obtained, wherein the historical user information data are updated in real time, therefore, the data have diversity and integrity, timeliness and environment dependence are avoided, the accuracy of judging the user type through the user type judgment model is improved, in addition, the user type is also updated in real time, accurate marketing can be conducted on the user type which is timely and accurately judged, and the application diversification requirement can be met.
Those skilled in the art will appreciate that all or part of the steps to implement the above-described embodiments are implemented as programs (computer programs) executed by a computer data processing apparatus. When the computer program is executed, the method provided by the invention can be realized. Furthermore, the computer program may be stored in a computer readable storage medium, which may be a readable storage medium such as a magnetic disk, an optical disk, a ROM, a RAM, or a storage array composed of a plurality of storage media, such as a magnetic disk or a magnetic tape storage array. The storage medium is not limited to centralized storage, but may be distributed storage, such as cloud storage based on cloud computing.
Embodiments of the apparatus of the present invention are described below, which may be used to perform method embodiments of the present invention. The details described in the device embodiments of the invention should be regarded as complementary to the above-described method embodiments; reference is made to the above-described method embodiments for details not disclosed in the apparatus embodiments of the invention.
Referring to fig. 2, an apparatus for classifying a user based on application information data includes:
the system comprises a first information module, a second information module and a third information module, wherein the first information module is used for acquiring historical user information data, and the historical user information data comprises application installation list information and user types;
the user type judgment model module is used for training and generating a user type judgment model based on the historical user information data;
the second information module is used for acquiring the application installation list information of the current user;
and the user type module is used for inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
In an embodiment of this specification, the acquiring of the application installation list information of the current user includes:
acquiring an application summary table;
and calling an application program interface to detect and obtain the application installation list information of the current user based on the application summary table.
In an embodiment of this specification, the obtaining, by invoking an application program interface to detect based on the application summary table, the application installation list information of the current user includes:
judging whether the application of the application summary table skips;
and if so, generating application installation list information of the current user for recording the jump application.
In this embodiment of the present specification, after the determining and acquiring the current user type, the application installation list information of the current user is used as the application installation list information of the historical user.
In this embodiment of the present specification, after the determining and obtaining the current user type, the method further includes:
and determining the wind control and/or marketing strategy of the current user based on the current user type.
In an embodiment of this specification, the acquiring of the application installation list information of the current user includes:
acquiring first application installation list information of a current user in real time;
acquiring second application installation list information of a current user in real time, wherein the acquisition time of the first application installation list information of the current user is earlier than that of the second application installation list information of the current user;
and judging whether the first application installation list information of the current user is consistent with the second application installation list information of the current user, and if not, acquiring the second application installation list information of the current user.
Those skilled in the art will appreciate that the modules in the above-described embodiments of the apparatus may be distributed as described in the apparatus, and may be correspondingly modified and distributed in one or more apparatuses other than the above-described embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as specific physical implementations for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 3 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 3, electronic device 300 is embodied in the form of a general purpose computing device. The components of electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one memory unit 320, a bus 330 connecting the various system components (including the memory unit 320 and the processing unit 310), a display unit 340, and the like.
Wherein the storage unit stores program code executable by the processing unit 310, so that the processing unit 310 performs the steps according to various exemplary embodiments of the present invention described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 3.
The storage unit 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)3201 and/or a cache storage unit 3202, and may further include a read only memory unit (ROM) 3203.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 350. Also, the electronic device 300 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 360. Network adapter 360 may communicate with other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention. The computer program, when executed by a data processing apparatus, enables the computer readable medium to implement the above-described method of the invention, namely: the method comprises the steps of obtaining historical user information data in real time, training to generate a user type judgment model, substituting application installation list information of a current user into the user type judgment model to obtain the current user type, wherein the historical user information data are updated in real time, so that the data have diversity and avoid timeliness, and the accuracy of judging the user type through the user type judgment model is improved
FIG. 4 is a schematic diagram illustrating a computer-readable medium in accordance with an exemplary embodiment.
The computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in embodiments in accordance with the invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP). The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
Claims (9)
1. A method for user classification based on application installation list information, comprising:
obtaining historical user information data, wherein the historical user information data comprises application installation list information and user types;
training and generating a user type judgment model based on the historical user information data;
acquiring application installation list information of a current user;
and inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
2. The method of claim 1, comprising:
the acquiring of the application installation list information of the current user includes:
acquiring an application summary table;
and calling an application program interface to detect and obtain the application installation list information of the current user based on the application summary table.
3. The method of claim 2, comprising:
the obtaining of the application installation list information of the current user by calling an application program interface based on the application summary table comprises:
judging whether the application of the application summary table can jump or not;
and if so, generating application installation list information of the current user for recording the jump application.
4. The method of claim 1, comprising:
and after the judgment and the acquisition of the current user type are finished, taking the application installation list information of the current user as the application installation list information of the historical user.
5. The method of claim 1, comprising:
after the judging the current user type, the method further comprises the following steps:
and determining the wind control and/or marketing strategy of the current user based on the current user type.
6. The method of claim 1, comprising:
the acquiring of the application installation list information of the current user includes:
acquiring first application installation list information of a current user in real time;
acquiring second application installation list information of a current user in real time, wherein the acquisition time of the first application installation list information of the current user is earlier than that of the second application installation list information of the current user;
and judging whether the first application installation list information of the current user is consistent with the second application installation list information of the current user, and if not, taking the second application installation list information of the current user as the application installation list information of the current user.
7. An apparatus for user classification based on application information data, comprising:
the system comprises a first information module, a second information module and a third information module, wherein the first information module is used for acquiring historical user information data, and the historical user information data comprises application installation list information and user types;
the user type judgment model module is used for training and generating a user type judgment model based on the historical user information data;
the second information module is used for acquiring the application installation list information of the current user;
and the user type module is used for inputting the application installation list information of the current user into the user type judgment model, and judging and acquiring the current user type.
8. An electronic device, wherein the electronic device comprises:
a processor; and the number of the first and second groups,
a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-6.
9. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-6.
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