CN116861285A - APP rechecking method, device, equipment and storage medium - Google Patents

APP rechecking method, device, equipment and storage medium Download PDF

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CN116861285A
CN116861285A CN202310671418.4A CN202310671418A CN116861285A CN 116861285 A CN116861285 A CN 116861285A CN 202310671418 A CN202310671418 A CN 202310671418A CN 116861285 A CN116861285 A CN 116861285A
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app
target
data
rechecking
sorting
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李浩然
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Shanghai Youkun Information Technology Co ltd
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Shanghai Youkun Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/44—Program or device authentication

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Abstract

The application discloses an APP rechecking method, device, equipment and storage medium, wherein the method comprises the steps of obtaining APP sample data output by an APP identification model, then carrying out data supplementation of preset data dimension on the APP sample data to obtain target sample data, enriching the dimension of the sample data, enabling the basis of rechecking to be more multidimensional, improving the accuracy of rechecking results, then matching the target sample data with target keywords to obtain target APP to which the target keywords belong, and further rechecking and sorting the target APP according to data of different dimensions in the target sample data. The sorting staff can perform batch processing on the APP of the same type through the keyword searching function, sorting and rechecking efficiency can be greatly improved, and accuracy of manual sorting and rechecking is improved.

Description

APP rechecking method, device, equipment and storage medium
Technical Field
The application belongs to the technical field of data analysis, and particularly relates to an APP rechecking method, device, equipment and storage medium.
Background
At present, the illegal activities of a telecommunication network (such as fraud crimes) are serious, wherein the 5 fraud types of fraud cases of return bill, false investment and financial management, false network loan, impersonation customer service and impersonation public inspection account for nearly 80 percent. Illegal activities of the telecommunication network often begin from revealing personal privacy from mobile phone Applications (APP), for example, some game APPs, un-officially downloaded APPs, network-scratch APPs, social APPs and the like perform illegal collection on user information. Thus, illegal activities of the telecommunication network can be countered by auditing and sorting the illegal APP.
In the prior art, an APP identification model is built to analyze the name of the APP so as to identify illegal APP, but the model cannot reach 100% accuracy, so that manual intervention is further needed to sort model results, and the accuracy of final results is ensured. However, conventional manual sorting is inefficient and it is difficult to accurately and efficiently process large amounts of data.
Therefore, the technical problem existing in the prior art is that the efficiency of manual sorting and rechecking after the illegal APP model result is output is low and the accuracy is not high.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for APP rechecking, which solve the problems of low efficiency and low accuracy of manual rechecking and sorting of illegal APP.
In a first aspect, an embodiment of the present application provides a method for APP review, including:
acquiring APP sample data;
performing data supplementation of preset data dimension on APP sample data to obtain target sample data;
matching the target sample data with the target keywords to obtain target APP to which the target keywords belong;
and rechecking and sorting the target APP according to the data with different dimensions in the target sample data.
In some possible implementations, the APP sample data includes at least one of APP package name, application name, model prediction result, sample source channel, and sample collection time.
In some possible implementations, the data supplementation of the preset data dimension includes at least one of supplementing at least one of APP installation amount, information whether to apply in the application market, APP running screenshot.
In some possible implementations, the method further includes:
under the condition of rechecking the sorting errors of the target APP, acquiring the APP name of the sorting errors;
intercepting APP business according to the APP name;
rechecking and sorting the APP with the sorting error.
In a second aspect, an embodiment of the present application further provides an APP rechecking apparatus, including:
the acquisition module is used for acquiring APP sample data;
the supplementing module is used for carrying out data supplementation of preset data dimension on the APP sample data to obtain target sample data;
the matching module is used for matching the target sample data with the target keywords to obtain target APP to which the target keywords belong;
and the rechecking module is used for rechecking and sorting the target APP according to the data with different dimensions in the target sample data.
In some possible implementations, the APP sample data includes at least one of APP package name, application name, model prediction result, sample source channel, and sample collection time.
In some possible implementations, the data supplementation of the preset data dimension includes supplementing at least one of APP installation amount, information whether to apply in the application marketplace, APP running screenshot.
In some possible implementations, the apparatus further includes an interception module:
the acquisition module is also used for acquiring the APP name of the sorting error under the condition of rechecking the sorting error of the target APP;
the interception module is used for intercepting the APP service according to the APP name;
and the rechecking module is also used for rechecking and sorting the APP with the sorting error.
In a third aspect, embodiments of the present application also provide an apparatus comprising a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the method of the first aspect, or APP review in any possible implementation manner of the first aspect.
In a fourth aspect, embodiments of the present application further provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of rechecking an APP in the first aspect, or any possible implementation manner of the first aspect.
According to the APP rechecking method, device, equipment and storage medium, APP sample data output by an APP identification model are obtained, then data supplementation of preset data dimension is carried out on the APP sample data to obtain target sample data, then the target sample data are matched with target keywords to obtain target APP to which the target keywords belong, and rechecking sorting is carried out on the target APP according to data of different dimensions in the target sample data. The APP sample data is subjected to data supplementation of preset data dimension, the dimension of the sample data can be enriched, the basis of review is multidimensional, the accuracy of a review result is improved, and a sorter can judge the same type of APP through a keyword searching function, so that the sorting review efficiency can be greatly improved, the APP sample data is subjected to data dimension supplementation, and the sorting review accuracy is effectively improved.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.
FIG. 1 is a schematic flow chart of an APP review method provided by an embodiment of the application;
FIG. 2 is a schematic flow chart of another APP review method provided by the embodiment of the application;
FIG. 3 is a schematic diagram of an APP review device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and the detailed embodiments. It should be understood that the particular embodiments described herein are meant to be illustrative of the application only and not limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the application by showing examples of the application.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It should be noted that, in the embodiment of the present application, the data acquisition, storage, use, processing, etc. all conform to the relevant regulations of the national laws and regulations.
The illegal activities of the telecommunication network often collect personal basic information such as the name, sex, age, mobile phone number, home address and the like of the user through illegal means, so that telecommunication phishing is carried out on the user, and the property safety of the user is seriously influenced. The disclosure of personal information of users is often caused by that users download some illegal APPs, and the users input personal information when registering the illegal APPs, so that the personal information is collected by illegal organizations. The source and type of illegal APP are various, for example, some of the un-officially downloaded APPs can present problems of unauthorized and overstocked user information, for example, some of the part-time bill-brushing APPs, users mistakenly pay for the fact that the user can pay for the part-time bill-brushing labor, various fees are led to pay, and property loss is caused, so that it is particularly important to audit the APPs.
In the prior art, APP is often sorted through the construction of an APP identification model, after the model outputs a sorting result, the APP is required to be manually subjected to recheck, namely, secondary sorting is required, when the APP is manually rechecked, due to huge data size of the APP, the rechecked sorting is time-consuming and labor-consuming, sorting personnel need to analyze, confirm and store one by one items, and the sorting personnel are difficult to finish in a short time, so that the problem in the prior art is that the rechecked sorting efficiency is low, and the rechecked sorting work of a large amount of data is difficult to finish accurately in a short time. In addition, the prior art has the problems that the retrospective property is poor, and the rapid retrospective and modification of the items with wrong sorting are difficult to carry out; there is also a problem of low differentiation of sample sources, however samples from different sources may be very different in distribution, so that the source information can effectively help the sorting personnel to improve the sorting efficiency.
Based on the above, the embodiment of the application provides the APP rechecking method, the APP rechecking device, the APP rechecking equipment and the storage medium, so that the efficiency and the accuracy of manual rechecking can be improved.
The method for checking the APP provided by the embodiment of the application is explained in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of an APP review method provided by an embodiment of the present application, and as shown in fig. 1, the method may include S110-S140.
S110, APP sample data are obtained.
APP refers to application software downloaded to a mobile terminal device by a user through various channels. The user can download from the links of the webpage, the short message or the friend circle, and also can download from the application store of the mobile phone. APP is also a variety of types, including games, social, office, shopping, video, and the like. The sorting result of the APP model is subjected to secondary sorting (i.e. rechecking) by means of manual means, and a great deal of manpower and time are consumed.
APP sample data refers to output data of an APP identification model.
In some embodiments, APP sample data may include at least one of APP package name, application name, model prediction result, sample source channel, and sample collection time.
The APP package name is a unique identifier of the APP, and is different from one APP to another, and is usually a character string combination of 'domain name, organization name, application name'.
Sample sources, referring to where APP is put on shelf, legal and regular APP will be put on shelf in APP application market, and basic information about APP will be described, for example: developer, version number, memory size, etc. However, illegal APP cannot be put on the market of the application, and only distribution links can be published in the form of two-dimensional codes or short links on forums, websites or social platforms for downloading, installation and use. Therefore, the sample source channel is an important basis for judging whether APP is legal or not.
In particular, the data output by the existing APP identification model may include at least one of a prediction result (i.e., whether it is legal) of the model, APP package name (i.e., unique identification), application name, sample source channel (i.e., where it is downloaded), and sample collection time.
And S120, carrying out data supplementation of preset data dimension on the APP sample data to obtain target sample data.
Because the data dimension output by the APP identification model is limited, namely the APP identification model is insufficient to support and judge whether the current APP is an illegal APP, the APP sample data can be subjected to data supplementation with preset data dimension to obtain target sample data with more data dimension, so that more powerful support is improved for subsequent rechecking work, and the rechecking accuracy is ensured.
In some embodiments, the data supplementation of the preset data dimension may include supplementation of at least one of APP installation amount, information whether to apply in the application market, APP running screenshot.
Specifically, after the data supplement of the preset data dimension, the target sample data may include data of more dimensions, so as to provide a more comprehensive basis for review, for example, the target sample data of app_1 may include: is illegal APP (i.e. model to APP prediction result), "com.zuzhi_1.Mm" (i.e. APP package name, unique identification of APP), AAP_1 number (i.e. application name), download channel being web page link (i.e. sample source channel), sample collection time being 2030.8.21, and further includes supplementary obtained data: the number of installations is 108 (i.e. APP installation amount), not in the application market (i.e. information whether or not the application is in the application market), APP running screenshot.
In one example, the model recognition result of the app_2 is a legal APP, but after the data dimension is supplemented, the operation screenshot user interface of the app_2 is found to be rough, the pixels are fuzzy, the page tagline inducibility is strong, the click part function menu is invalid, the information such as loan advertisement and the like is also included, the downloading source of the app_2 is an unofficial web page link, and the app_2 is not put on shelf in the mobile phone application market, so that a sorter can judge through the dimension-expanded data, and the app_2 is determined to be an illegal APP.
And S130, matching the target sample data with the target keywords to obtain target APP to which the target keywords belong.
The target keywords refer to the same type of APP related to the keywords to be searched can be displayed for the sorting staff to review after the user inputs the keywords to be searched for searching.
Specifically, the target keyword information is respectively matched with the information of each dimension in the APP target sample data, after the characteristics related to the target keywords are obtained, sorting personnel can perform batch processing on related repeated data, and therefore sorting efficiency is improved.
In one example, the application package name of app_3 is "com.zuzhi_3.mm", and by judging the target sample data of app_3, a sorter determines that app_3 is illegal application software, and then the sorter can search for the target keyword of "zuzhi_3", and the platform matches all the target sample data of APP with the target keyword, so that the target APP of the same category as app_3 to which the target keyword belongs can be obtained, and batch review is performed by the sorter, thereby improving the efficiency of manual sorting.
And S140, rechecking and sorting the target APP according to the data with different dimensions in the target sample data.
Specifically, different types of APP can be classified according to target keywords for batch processing by a sorting staff, and the accuracy of searching can be improved by matching the target keywords for each dimension of the target sample data after the data dimension is supplemented. Sorting personnel can review and sort the target APP according to the data with different dimensions in the target sample data.
According to the embodiment of the application, the APP sample data output by the APP identification model is obtained, then the APP sample data is subjected to data supplementation of preset data dimension to obtain target sample data, then the target sample data is matched with the target keywords to obtain the target APP to which the target keywords belong, and further the target APP is rechecked and sorted according to the data of different dimensions in the target sample data. The APP sample data is subjected to data supplementation of preset data dimension, the dimension of the sample data can be enriched, the basis of review is multidimensional, the accuracy of a review result is improved, and a sorter can judge the same type of APP through a keyword searching function, so that the sorting review efficiency can be greatly improved, the APP sample data is subjected to data dimension supplementation, and the accuracy of manual sorting review is effectively improved.
In some embodiments, as shown in fig. 2, the method for APP review further includes:
s150, under the condition of rechecking the sorting errors of the target APP, acquiring the APP name of the sorting errors;
s160, intercepting APP business according to the APP name;
s170, rechecking and sorting the APP with the wrong sorting.
Specifically, if the sorter is in wrong point operation when sorting, namely under the condition of rechecking sorting errors of target APP, the APP name of the sorting errors can be obtained, then according to the APP name, the platform can intercept APP business, and the sorter rechecks and sorts the APP, so that sorting results can be quickly traced and modified.
In one embodiment, the total output of the results of the APP identification model to the data center, the data comprising: application package name, application name, model prediction result, sample source channel, sample acquisition time; then, the data center further supplements data dimension including the installation amount of the APP, whether the APP is in an application market, the running screenshot of the APP and the like; pushing the supplemented data into a sorting platform by the data center platform to wait for sorting; and the sorter sorts the samples according to the data of each dimension, and if the samples are erroneously sorted by the error point operation, the sorting operator can enter a historical sorting result module to trace back so as to modify the sorting result.
The embodiment of the present application also provides an APP rechecking device, as shown in fig. 3, the device 300 may include an acquisition module 310, a supplement module 320, a matching module 330, and a rechecking module 340:
an acquisition module 310, configured to acquire APP sample data;
the supplementing module 320 is configured to supplement data of a preset data dimension to APP sample data, so as to obtain target sample data;
the matching module 330 is configured to match the target sample data with the target keyword, so as to obtain a target APP to which the target keyword belongs;
and the rechecking module 340 is used for rechecking and sorting the target APP according to the data with different dimensions in the target sample data.
According to the embodiment of the application, the APP rechecking device obtains the APP sample data output by the APP identification model, then carries out data supplementation of preset data dimension on the APP sample data to obtain target sample data, then matches the target sample data with the target keywords to obtain the target APP to which the target keywords belong, and rechecks and sorts the target APP according to the data of different dimensions in the target sample data. The APP sample data is subjected to data supplementation of preset data dimension, the dimension of the sample data can be enriched, the basis of review is multidimensional, the accuracy of a review result is improved, and a sorter can judge the same type of APP through a keyword searching function, so that the sorting review efficiency can be greatly improved, the APP sample data is subjected to data dimension supplementation, and the sorting review accuracy is effectively improved.
In some embodiments, the APP sample data includes at least one of APP package name, application name, model prediction result, sample source channel, and sample collection time.
In some embodiments, the data supplementation of the preset data dimension includes supplementing at least one of APP installation amount, information whether to apply in the application market, APP running screenshot.
In some embodiments, the apparatus further comprises an interception module:
the acquisition module is also used for acquiring the APP name of the sorting error under the condition of rechecking the sorting error of the target APP;
the interception module is used for intercepting the APP service according to the APP name;
and the rechecking module is also used for rechecking and sorting the APP with the sorting error.
The modules in the APP review device provided by the embodiment of the present application can implement the functions of the steps of the APP review method provided in fig. 1 to 2, and achieve the corresponding technical effects, and are not described in detail herein for brevity.
Fig. 4 shows a schematic hardware structure of a terminal service device according to an embodiment of the present application.
The terminal service device may comprise a processor 401 and a memory 402 in which computer program instructions are stored.
In particular, the processor 401 described above may include a central processing unit (Central Processing Unit, CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits implementing embodiments of the present application.
Memory 402 may include mass storage for data or instructions. By way of example, and not limitation, memory 402 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. Memory 402 may include removable or non-removable (or fixed) media, where appropriate. Memory 402 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 402 is a non-volatile solid state memory.
The Memory may include Read Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk storage media devices, optical storage media devices, flash Memory devices, electrical, optical, or other physical/tangible Memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to a method in accordance with an aspect of the application.
The processor 401 implements the method of APP review in any of the above embodiments by reading and executing computer program instructions stored in the memory 402.
In one example, the data processing device may also include a communication interface 403 and a bus 404. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected to each other by a bus 404 and perform communication with each other.
The communication interface 403 is mainly used to implement communication between each module, device, unit and/or apparatus in the embodiment of the present application.
Bus 404 includes hardware, software, or both, coupling the components of the terminal services device to each other. By way of example, and not limitation, the buses may include an accelerated graphics port (Accelerated Graphics Port, AGP) or other graphics Bus, an enhanced industry standard architecture (Extended Industry Standard Architecture, EISA) Bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (Industry Standard Architecture, ISA) Bus, an Infiniband interconnect, a low pin count (Linear Predictive Coding, LPC) Bus, a memory Bus, a micro channel architecture (MicroChannel Architecture, MCa) Bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) Bus, a PCI-Express (Peripheral Component Interconnect-X, PCI-X) Bus, a serial advanced technology attachment (Serial Advanced Technology Attachment, SATA) Bus, a video electronics standards association Local Bus (VLB) Bus, or other suitable Bus, or a combination of two or more of these. Bus 404 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.
The device can execute the method for checking the APP in the embodiment of the application based on each unit/component in the device for checking the APP, thereby realizing the method for checking the APP described in connection with fig. 1-2.
In addition, in combination with the APP review method in the above embodiment, the embodiment of the present application may be implemented by providing a computer storage medium. The computer storage medium has stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a method of APP review in any of the above embodiments.
The application also provides a computer program product, wherein the instructions in the computer program product are executed by a processor of an electronic device, so that the electronic device executes various processes of the method embodiment for realizing the APP review in any one of the above.
It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor Memory devices, read-Only Memory (ROM), flash Memory, erasable Read-Only Memory (Erasable Read Only Memory, EROM), floppy disks, compact discs (Compact Disc Read-Only Memory, CD-ROM), optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.

Claims (10)

1. A method of APP review, comprising:
acquiring APP sample data;
performing data supplementation of preset data dimension on the APP sample data to obtain target sample data;
matching the target sample data with the target keywords to obtain target APP to which the target keywords belong;
and rechecking and sorting the target APP according to the data with different dimensions in the target sample data.
2. The method of claim 1, wherein the APP sample data comprises at least one of APP package name, application name, model prediction result, sample source channel, and sample collection time.
3. The method of claim 1, wherein the data supplementation of the preset data dimension comprises at least one of supplementing at least one of APP installation amount, information whether to apply in an application marketplace, APP running screenshot.
4. A method according to claims 1 to 3, further comprising:
under the condition of rechecking the sorting errors of the target APP, acquiring the APP name of the sorting errors;
intercepting APP business according to the APP name;
rechecking and sorting the APP with the sorting error.
5. An APP rechecking apparatus, comprising:
the acquisition module is used for acquiring APP sample data;
the supplementing module is used for carrying out data supplementation of preset data dimension on the APP sample data to obtain target sample data;
the matching module is used for matching the target sample data with the target keywords to obtain target APP to which the target keywords belong;
and the rechecking module is used for rechecking and sorting the target APP according to the data with different dimensionalities in the target sample data.
6. The apparatus of claim 5, wherein the data supplementation of the preset data dimension comprises at least one of supplementing at least one of APP installation amount, information whether to apply in an application marketplace, APP running screenshot.
7. The apparatus of claims 5 to 6, further comprising an interception module:
the acquisition module is also used for acquiring the APP name of the sorting error under the condition of rechecking the sorting error of the target APP;
the interception module is used for intercepting the APP service according to the APP name;
and the rechecking module is also used for rechecking and sorting the APP with the sorting error.
8. An apparatus, the apparatus comprising: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements a method of APP review as defined in any one of claims 1 to 4.
9. A computer readable storage medium, characterized in that it has stored thereon computer program instructions which, when executed by a processor, implement a method of APP review as claimed in any of claims 1 to 4.
10. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, enable the electronic device to perform the method of APP review as claimed in any of claims 1-4.
CN202310671418.4A 2023-06-07 2023-06-07 APP rechecking method, device, equipment and storage medium Pending CN116861285A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310671418.4A CN116861285A (en) 2023-06-07 2023-06-07 APP rechecking method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310671418.4A CN116861285A (en) 2023-06-07 2023-06-07 APP rechecking method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN116861285A true CN116861285A (en) 2023-10-10

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310671418.4A Pending CN116861285A (en) 2023-06-07 2023-06-07 APP rechecking method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN116861285A (en)

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