CN115454989A - Data processing method and device for application program data - Google Patents
Data processing method and device for application program data Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The embodiment of the invention provides a data processing method and device of application program data, comprising the following steps: acquiring application program data; performing content division processing on the application program data to obtain contents of different application programs; carrying out user characteristic division on user data to obtain a user label; marking the user label and the content of different application programs; sequencing the marked user tags and the contents of different application programs to obtain analysis result classification; optimizing the analysis result; optimizing the analysis result; compare traditional artifical experience APP and draw optimization suggestion, adopt APP optimization analysis intelligent system, efficiency is higher, and the cost is lower, and the pertinence is stronger, discovery that can be quick problem exists, avoids causing great loss.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a data processing method for application data, a data processing apparatus for application data, a computer device, and a storage medium.
Background
Along with mobile internet's the rise, more and more APP (application) enter into people's cell-phone, experience sense good APP can become indispensable partly in the user's life, experience sense poor APP user point has just stood immediately and has uninstalled, consequently promotes user experience, constantly optimizes APP, becomes must. The traditional method for optimizing the APP is to find a plurality of trial personnel to try to play, then write down the experience of trying to play, and optimize the APP aiming at the experience of trying to play, so that the method is low in efficiency, the optimization direction is fuzzy, and the pertinence is weaker.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed in order to provide a data processing method of application data, a data processing apparatus of application data, a computer device and a storage medium that overcome or at least partially solve the above problems.
In order to solve the above problem, an embodiment of the present invention discloses a data processing method for application program data, including:
acquiring application program data;
performing content division processing on the application program data to obtain contents of different application programs;
carrying out user characteristic division on user data to obtain a user label;
marking the user label and the content of different application programs;
sequencing the marked user tags and the contents of different application programs to obtain analysis result classification;
and optimizing the analysis result.
Preferably, after the acquiring the application program data, the method includes:
and cleaning the data of the application program data.
Preferably, the dividing the content into the application data to obtain the content of the different applications includes:
and performing fine-grained division on the application program data to obtain the contents of different application programs.
Preferably, the sorting the marked user tags and the contents of different application programs to obtain an analysis result classification includes:
and sequencing the marked user tags and the contents of different application programs according to the use frequency to obtain analysis result classification.
Preferably, the analysis result includes a current analysis result and a previous version analysis result, and the method further includes:
comparing and judging whether the current analysis result and the upper version analysis result are changed;
if so, merging the changed analysis results into the analysis results classification.
The embodiment of the invention discloses a data processing device of application program data, which comprises:
the data acquisition module is used for acquiring application program data;
the content dividing module is used for carrying out content dividing processing on the application program data to obtain the contents of different application programs;
the user characteristic dividing module is used for dividing user characteristics aiming at user data to obtain a user label;
the marking module is used for marking the user tags and the contents of different application programs;
the sequencing module is used for sequencing the marked user tags and the contents of different application programs to obtain analysis result classification;
and the optimization module is used for optimizing the analysis result.
Preferably, the module connected to the data acquisition module includes:
and the data cleaning module is used for cleaning the data of the application program data.
Preferably, the content division module includes:
and the fine-grained division submodule is used for performing fine-grained division on the application program data to obtain the contents of different application programs.
The embodiment of the invention discloses computer equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the data processing method of the application program data when executing the computer program.
The embodiment of the invention discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program is used for realizing the steps of the data processing method of the application program data when being executed by a processor.
The embodiment of the invention has the following advantages:
in an embodiment of the present invention, a data processing method for application data includes: acquiring application program data; performing content division processing on the application program data to obtain contents of different application programs; carrying out user characteristic division on user data to obtain a user label; marking the user label and the content of different application programs; sequencing the marked user tags and the contents of different application programs to obtain analysis result classification; optimizing the analysis result; compare traditional artifical experience APP and draw optimization suggestion, adopt APP optimization analysis intelligent system, efficiency is higher, and the cost is lower, and the pertinence is stronger, discovery that can be quick problem exists, avoids causing great loss.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts
FIG. 1 is a flowchart illustrating steps of an embodiment of a method for processing application data according to an embodiment of the present invention;
FIG. 2 is a block diagram of an embodiment of a data processing apparatus for application data according to the present invention;
FIG. 3 is an internal block diagram of a computer device of an embodiment.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects solved by the embodiments of the present invention more clearly apparent, the embodiments of the present invention are described in further detail below with reference to the accompanying drawings and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Referring to fig. 1, a flowchart of steps of an embodiment of a data processing method for application data according to an embodiment of the present invention is shown, which specifically includes the following steps:
in the embodiment of the present invention, the source of the application data may be various types of applications, such as tool software, game software, management software, and the like, which is not limited in the embodiment of the present invention.
In a preferred embodiment, the application data may include APP report data, user behavior data, external data, and the like, where the APP report data may include error report log data, and the user data includes gender information, age information, channel information, registration time information, region information, mobile phone model information, and the like of a user; the user behavior data may include content interaction information of the user and the APP, APP usage module information, usage content frequency, module retention time, and the like, and finally, the external data refers to comment information and the like for the application program.
The data processing method of the invention can be applied to terminals, and the terminals can comprise mobile intelligent terminals, such as mobile phones, portable computers and the like, which are not limited too much in the embodiment of the invention.
102, performing content division processing on the application program data to obtain contents of different application programs;
further applied to the embodiment of the present invention, the terminal may perform content division processing on the application data to obtain contents of different applications.
Specifically, the method comprises the following steps after the step of acquiring the application program data: and cleaning the data of the application program data.
Before content division processing is performed on application program data, data cleaning can be performed on the application program data first, and some irrelevant information is filtered out, so that the pressure of a data analysis process is relieved.
The data cleaning method may be divided into selecting subsets, renaming column names, deleting duplicate values, processing missing values, performing consistency processing, performing data sorting processing, and performing abnormal value processing, which is not limited in this embodiment of the present invention.
In a preferred embodiment, the performing content division processing on the application data to obtain the contents of different applications includes: and performing fine-grained division on the application program data to obtain the contents of different application programs.
Specifically, the fine-grained partition may be performed by a network fine-tuning method based on conventional image classification, a method based on fine-grained feature learning, a method based on target block detection and alignment, a method based on visual attention mechanism, and the like, and may also be performed by other methods to obtain contents of different application programs.
103, carrying out user characteristic division on user data to obtain a user label;
specifically, in the embodiment of the present invention, the terminal may perform user feature division according to the user data in the application data to obtain the user tag.
For example, the users may be clustered according to their liveness, and divided into three categories, i.e., high liveness, medium liveness, and low liveness. And then, establishing labels, such as a gender label, an age label, a grade label and the like, based on the user data and the user behavior data, and then associating the user information with the established labels.
in the embodiment of the invention, the user tags can be marked firstly, namely, the user tags are marked for each user, and the user tags are linked with the contents of different application programs.
105, sequencing the marked user tags and the contents of different application programs to obtain analysis result classification;
actually applied to the embodiment of the present invention, the sorting the marked user tags and the contents of different application programs to obtain the analysis result classification includes: and sequencing the marked user tags and the contents of different application programs according to the use frequency to obtain analysis result classification.
Firstly, the terminal can perform marking processing according to the label on the user and the frequency of using the APP content by the user; and secondly, sequencing the data according to the labeling relation between the label on the user and the APP content to obtain the classification of the analysis result.
And 106, optimizing the analysis result.
In the embodiment of the present invention, the terminal may further optimize the analysis result, and the method further includes: comparing and judging whether the current analysis result and the upper version analysis result are changed; if so, merging the changed analysis results into the analysis result classification.
In the embodiment of the present invention, the data processing method of the application data includes: acquiring application program data; performing content division processing on the application program data to obtain contents of different application programs; carrying out user characteristic division on user data to obtain a user label; marking the user label and the content of different application programs; sequencing the marked user tags and the contents of different application programs to obtain analysis result classification; optimizing the analysis result; compare traditional artifical experience APP and draw optimization suggestion, adopt APP optimization analysis intelligent system, efficiency is higher, and the cost is lower, and the pertinence is stronger, discovery that can be quick problem exists, avoids causing great loss.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those of skill in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the embodiments of the invention.
Referring to fig. 2, a block diagram of an embodiment of a data processing apparatus for application data according to an embodiment of the present invention is shown, and specifically includes the following modules:
a data acquisition module 301, configured to acquire application data;
a content dividing module 302, configured to perform content dividing processing on the application data to obtain contents of different applications;
a user characteristic division module 303, configured to perform user characteristic division on user data to obtain a user tag;
a marking module 304, configured to mark the user tag and contents of different applications;
a sorting module 305, configured to sort the marked user tags and the contents of different application programs, so as to obtain an analysis result classification;
and an optimizing module 306 for optimizing the analysis result.
Preferably, the module connected to the data acquisition module includes:
and the data cleaning module is used for cleaning the data of the application program data.
Preferably, the content division module includes:
and the fine-grained division submodule is used for performing fine-grained division on the application program data to obtain the contents of different application programs.
Preferably, the sorting module comprises:
and the sequencing submodule is used for sequencing the marked user tags and the contents of different application programs according to the use frequency to obtain the classification of the analysis results.
Preferably, the analysis result includes a current analysis result and a previous version analysis result, and the apparatus further includes:
the comparison module is used for comparing and judging whether the current analysis result and the upper version analysis result are changed or not;
and the merging module is used for merging the changed analysis results into the analysis result classification when the current analysis result and the upper version analysis result are changed.
The respective modules in the data processing device for application data described above may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The data processing device for application data provided above can be used to execute the data processing method for application data provided in any of the above embodiments, and has corresponding functions and advantages.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method of application data. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory having a computer program stored therein and a processor that when executing the computer program performs the steps of:
acquiring application program data;
performing content division processing on the application program data to obtain contents of different application programs;
carrying out user characteristic division on user data to obtain a user label;
marking the user label and the content of different application programs;
sequencing the marked user tags and the contents of different application programs to obtain analysis result classification;
and optimizing the analysis result.
In a preferred embodiment, the processor, when executing the computer program, performs the steps of:
and cleaning the data of the application program data.
In a preferred embodiment, the processor, when executing the computer program, performs the steps of: and performing fine-grained division on the application program data to obtain the contents of different application programs.
In a preferred embodiment, the processor, when executing the computer program, performs the steps of: and sequencing the marked user tags and the contents of different application programs according to the use frequency to obtain analysis result classification.
In a preferred embodiment, the processor, when executing the computer program, performs the steps of: comparing and judging whether the current analysis result and the upper version analysis result are changed or not;
if so, merging the changed analysis results into the analysis result classification.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring application program data;
performing content division processing on the application program data to obtain contents of different application programs;
carrying out user characteristic division on user data to obtain a user label;
marking the user label and the content of different application programs;
sequencing the marked user tags and the contents of different application programs to obtain analysis result classification;
and optimizing the analysis result.
In a preferred embodiment, the computer program realizes the following steps when executed by a processor:
and cleaning the data of the application program data.
In a preferred embodiment, the computer program realizes the following steps when executed by a processor:
and performing fine-grained division on the application program data to obtain the contents of different application programs.
In a preferred embodiment, the computer program realizes the following steps when executed by a processor:
and sequencing the marked user tags and the contents of different application programs according to the use frequency to obtain analysis result classification.
In a preferred embodiment, the computer program realizes the following steps when executed by a processor:
comparing and judging whether the current analysis result and the upper version analysis result are changed;
if so, merging the changed analysis results into the analysis result classification.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrases "comprising one of \ 8230; \8230;" does not exclude the presence of additional like elements in a process, method, article, or terminal device that comprises the element.
The foregoing detailed description is provided for a data processing method of application data, a data processing apparatus of application data, a computer device, and a storage medium, and the present invention has been described with specific examples to explain the principles and embodiments of the present invention, and the descriptions of the above examples are only used to help understand the method and the core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for processing application data, comprising:
acquiring application program data;
performing content division processing on the application program data to obtain contents of different application programs;
carrying out user characteristic division on user data to obtain a user label;
marking the user label and the content of different application programs;
sequencing the marked user tags and the contents of different application programs to obtain analysis result classification;
and optimizing the analysis result.
2. The method for processing application data according to claim 1, wherein after acquiring the application data, the method comprises:
and cleaning the data of the application program data.
3. The method for processing the application data according to claim 1, wherein the performing content division processing on the application data to obtain contents of different applications includes:
and performing fine-grained division on the application program data to obtain the contents of different application programs.
4. The data processing method of application program data according to claim 1, wherein the sorting the marked user tags and the contents of different application programs to obtain analysis result classifications comprises:
and sequencing the marked user tags and the contents of different application programs according to the use frequency to obtain analysis result classification.
5. The method of claim 1, wherein the analysis results comprise current analysis results and previous version analysis results, the method further comprising:
comparing and judging whether the current analysis result and the upper version analysis result are changed or not;
if so, merging the changed analysis results into the analysis result classification.
6. A data processing apparatus for application data, comprising:
the data acquisition module is used for acquiring application program data;
the content dividing module is used for carrying out content dividing processing on the application program data to obtain the contents of different application programs;
the user characteristic dividing module is used for dividing user characteristics aiming at user data to obtain a user label;
the marking module is used for marking the user tags and the contents of different application programs;
the sorting module is used for sorting the marked user tags and the contents of different application programs to obtain analysis result classification;
and the optimization module is used for optimizing the analysis result.
7. The data processing apparatus for application data according to claim 6, wherein the module connected to the data acquisition module comprises:
and the data cleaning module is used for cleaning the data of the application program data.
8. The data processing apparatus of application data according to claim 6, wherein said content partitioning module comprises:
and the fine-grained division submodule is used for performing fine-grained division on the application program data to obtain the contents of different application programs.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the data processing method of application data of any of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of a data processing method of application data of any one of claims 1 to 5.
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