CN108255583B

CN108255583B - Application program comparison method and device

Info

Publication number: CN108255583B
Application number: CN201611232547.XA
Authority: CN
Inventors: 孙楠; 侯婉瑾
Original assignee: Beijing Kingsoft Cloud Network Technology Co Ltd; Beijing Kingsoft Cloud Technology Co Ltd
Current assignee: Beijing Kingsoft Cloud Network Technology Co Ltd; Beijing Kingsoft Cloud Technology Co Ltd
Priority date: 2016-12-28
Filing date: 2016-12-28
Publication date: 2021-05-14
Anticipated expiration: 2036-12-28
Also published as: CN108255583A

Abstract

The embodiment of the invention provides an application program comparison method and device, wherein the method comprises the steps of firstly judging whether the number of target application programs to be compared is greater than 1; if so, selecting a label from labels which are commonly corresponding to all target application programs as a first label; respectively obtaining application program data corresponding to the first label in the application program data of each target application program as first type data; and respectively obtaining the comparison data of each target application program from the first type data of each target application program, and finally, comparing the comparison data of different target application programs to obtain a comparison result. In the scheme provided by the embodiment of the invention, the obtained comparison result is obtained aiming at the label corresponding to each application program, the pertinence of the comparison result is strong, and the weak link of the target application program can be highlighted, so that a more effective reference basis is provided for the application program upgrading and improving of an application program operator.

Description

Application program comparison method and device

Technical Field

The invention relates to the technical field of computers, in particular to an application program comparison method and device.

Background

The application data may include: the application itself information (e.g., operating system type, memory requirements, etc.), user data, and user operating data generated by the user using the application process (e.g., user attribute information, user activity and user level information, etc.).

In the process of operating and maintaining an application program, an operator of the application program generally compares the application program operated and maintained with other application programs to evaluate the application program and evaluate market performance and development tendency of the application program.

However, since the comparison method of the prior art is performed for the advantages and disadvantages of each application program, the comparison is not performed for the commonalities of the compared application programs, and the obtained comparison result is poor in pertinence.

Disclosure of Invention

The embodiment of the invention aims to provide an application program comparison method and device, which aim to compare commonalities of application programs needing to be compared and obtain a more targeted comparison result, so that a more effective reference basis is provided for an application program operator aiming at upgrading and improving the application programs. The specific technical scheme is as follows:

to achieve the above object, in a first aspect, an embodiment of the present invention provides an application program comparison method, where the method includes:

judging whether the number of target application programs to be compared is greater than 1 or not;

if so, selecting a label from labels which are commonly corresponding to all target application programs as a first label;

respectively obtaining application program data corresponding to the first label in the application program data of each target application program as first-class data;

respectively obtaining comparison data of each target application program from the first type data of each target application program, wherein the comparison data is as follows: data for application program comparison;

and comparing the comparison data of different target application programs to obtain a comparison result.

Preferably, in the case that the number of target applications to be compared is not greater than 1, the method further includes:

selecting a label from labels of the target application program as a second label;

acquiring application program data corresponding to the second label in the application program data of the target application program as second type data;

obtaining comparison data of the target application program from the second type data;

obtaining a comparison reference value according to the comparison data of all the application programs corresponding to the second label;

and comparing the comparison data of the target application program with the comparison reference value to obtain a comparison result.

Preferably, the step of selecting a tag from tags corresponding to the target applications as the first tag includes:

acquiring a program characteristic value of each target application program for various preset program characteristics;

for each target application program, carrying out weighted calculation on the acquired program characteristic value according to the preset weight of various preset program characteristics to obtain a target comprehensive program characteristic value of the target application program;

determining similar application programs corresponding to each target application program from the application programs according to the target comprehensive program characteristic value and the comprehensive program characteristic value of each application program recorded with the program information in the first database; wherein, the comprehensive program characteristic value of each application program is as follows: the application program is obtained by carrying out weighted calculation on the program characteristic values of the application program aiming at various preset characteristics according to the weights of the various preset program characteristics;

and selecting a label from labels which are commonly corresponding to similar application programs of the target application programs as a first label.

In a second aspect, an embodiment of the present invention provides an application program comparison apparatus, where the apparatus includes:

the judging module is used for judging whether the number of the target application programs to be compared is greater than 1 or not;

the first selection module is used for selecting a label from labels which are commonly corresponding to all target application programs as a first label under the condition that the judgment result of the judgment module is yes;

the first obtaining module is used for respectively obtaining application program data corresponding to the first label in the application program data of each target application program as first-class data;

a second obtaining module, configured to obtain comparison data of each target application from the first type of data of each target application, where the comparison data is: data for application program comparison;

and the first comparison module is used for comparing the comparison data of different target application programs to obtain a comparison result.

In the scheme provided by the embodiment of the invention, whether the number of target application programs to be compared is more than 1 can be judged firstly; if so, selecting a label from labels which are commonly corresponding to all target application programs as a first label; respectively obtaining application program data corresponding to the first label in the application program data of each target application program as first type data; and respectively obtaining the comparison data of each target application program from the first type data of each target application program, and finally, comparing the comparison data of different target application programs to obtain a comparison result. Compared with the prior art, in the scheme provided by the embodiment of the invention, the finally obtained comparison result is obtained aiming at the commonality of each target application program, namely, the label corresponding to each application program, the pertinence of the comparison result is strong, and the weak link of the target application program can be highlighted, so that a more effective reference basis is provided for the application program operator aiming at the upgrading and improvement of the application program; the scheme provided by the embodiment of the invention has high automation degree, reduces the working pressure of operators and improves the working efficiency of the operators.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a first flowchart illustrating an application program comparison method according to an embodiment of the present invention;

FIG. 2 is a second flowchart illustrating an application program comparison method according to an embodiment of the present invention;

FIG. 3 is a third flowchart illustrating an application program comparison method according to an embodiment of the present invention;

FIG. 4 is a fourth flowchart illustrating an application program comparison method according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a first configuration of an application comparing apparatus according to an embodiment of the present invention;

FIG. 6 is a diagram illustrating a second configuration of an application comparing apparatus according to an embodiment of the present invention;

FIG. 7 is a schematic diagram illustrating a third structure of an application comparing apparatus according to an embodiment of the present invention;

fig. 8 is a schematic diagram illustrating a fourth structure of an application comparing apparatus according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

First, technical terms referred to in the present document will be briefly described below.

A tag is understood to be a categorical label of a thing, and from the perspective of an application, a tag is a categorical label of some function or content of the application. For example, for a tool type application, the corresponding function and interface style can be used as a label; for games, the quality of the picture, presence or absence of a server, type of game, etc. of the game may be tags. The label item can be understood as a general term of a plurality of similar labels, for example, a painting in a game can be taken as one label item, and the label item can include labels including: picture style, picture quality, and character quality, or may include 2D picture, 3D picture, and the like.

The application database is a database generated for an application program and rich in a large amount of application data, which may include, as described in the background above: application self information, such as operating system type, memory requirements, etc.; and user data and user operating data generated by the user using the application process, such as user personal information, user liveness and user rating information, and the like.

It can be understood that, since the tag of the application is a classification mark for some functions or contents of the application, the tag plays an important role for the application, in other words, the function or contents corresponding to the tag is important for the application, and the superiority and inferiority of the function or contents corresponding to the tag can be represented by the application data, so there is a certain correspondence between the tag and the application data.

The embodiments of the present invention will be described in detail below with reference to specific embodiments.

It should be noted at first that the embodiment of the present invention can be applied to a server. Fig. 1 is a first schematic flowchart of an application program comparison method according to an embodiment of the present invention, as shown in fig. 1, the method includes:

s101: and judging whether the number of the target application programs to be compared is greater than 1.

In general, in practical applications, the target application to be compared may be determined according to content input by an operator, for example, the operator inputs an identifier of the application through a user interface, and the server stores a one-to-one correspondence relationship between the identifier and the application, so that after the server receives the identifier input by the operator, the server may determine the application corresponding to the identifier as the target application data according to the one-to-one correspondence relationship. It should be noted that the operator may be a person who needs to know the comparison result of the application, for example, an operation and maintenance person of the application.

It is understood that the number of target applications to be compared should be at least 1, for example, if an operator inputs an identifier of one application through a user interface, the number of target applications to be compared is 1; if the operator has entered the identification of three applications via the user interface, the number of target applications to be compared is 3.

If the judgment result in the step S101 is yes, the step S102 is executed: and selecting a label from labels which are commonly corresponding to all target application programs as a first label.

Step S102 is executed, first, a tag corresponding to each target application needs to be determined, in a preferred implementation manner, a correspondence relationship between the application and the tag may be recorded in the server, for example, the server records: application a corresponds to tag 2, tag 3, and tag 6.

Illustratively, the target application program comprises an application program B and an application program C, and the server determines, according to the correspondence between the locally recorded application program and the tag: the application program B corresponds to the tags 1-4, the application program C corresponds to the tags 3-6, and the tags corresponding to all the target application programs are the tags 3 and 4.

In the embodiment of the present invention, all the tags corresponding to the target applications may be used as the first tags, but in an actual use process, the operator may only need to compare the application with a part of the tags corresponding to the target applications. In the first aspect, as shown in fig. 2, the step (S102) of selecting a tag from tags commonly corresponding to the target applications as the first tag may include:

s1021: a target tag item is obtained.

The tag item may be input by the operator, for example, when the operator inputs the identifier of the target application program, the target tag item is also input, so that the server obtains the target tag item.

S1022: and selecting the label belonging to the target label item from the labels corresponding to all the target application programs as a first label.

In the embodiment of the present invention, the server may further store a corresponding relationship between the tag item and the tag. Illustratively, the labels corresponding to the target application programs together are labels 1-4, the server queries the corresponding relation between the label items and the labels to obtain the corresponding relation, the target label items correspond to the labels 2, 4, 5 and 8, and then the server selects the labels 2 and 4 as the first labels.

In the second aspect, the step (S102) of selecting a tag from tags commonly corresponding to the target applications as the first tag may include the following two steps:

the first step is as follows: and displaying the labels corresponding to the target application programs on the user interface.

It should be noted that the user interface here is a user interface specifically set for the server, and the operator can see the content displayed by the user interface. Illustratively, the labels corresponding to the target applications are labels 1 to 6, and then the labels 1 to 6 are displayed on the user interface.

The second step is that: and determining the selected label as a first label according to the selection operation of the user on the user interface.

Illustratively, the tags 1-6 are displayed on the user interface, the operator clicks and selects the tags 2, 3 and 5, the server receives selection information of the operator selecting the tags 2, 3 and 5, and the tags 2, 3 and 5 are determined as first tags.

S103: and respectively obtaining application program data corresponding to the first label in the application program data of each target application program as first-class data.

It is understood that the application data is usually stored in an application database, such as a common game database, so the step of obtaining the application data corresponding to the first tag in the application data of each target application as the first type data (S103) may include the following two steps:

the first step is as follows: and determining a target database field corresponding to the first label in the application program database according to a preset label list, wherein the label list stores the corresponding relation between the label and the database field.

It will be appreciated that in most databases, the "columns" of a database table are referred to as "fields," each of which contains information for a particular topic. For example, in the directory database, the names and the contact numbers are common attributes for all rows in the table, so these columns are referred to as the name field and the contact number field.

In the embodiment of the present invention, in the above correspondence relationship, one tag may correspond to a plurality of database fields, for example, if the tag is an applicable group, the database fields may have "gender", "age", "occupation", "city", and the like.

The second step is that: and for each target application program, extracting application program data matched with the target application program and the target database field from the application program database to serve as first type data.

It will be appreciated that the first type of data is determined from both the dimensions of the application and the database fields.

S104: respectively obtaining comparison data of each target application program from the first type data of each target application program, wherein the comparison data is as follows: data for application comparisons.

It should be noted that the application data extracted from the application database is not necessarily data that can be directly used for application comparison, but rather needs to be statistically analyzed by corresponding data to obtain the comparison data described herein. It will be clear to those skilled in the art that different data analysis methods are used for different comparison data, and the embodiments of the present invention are not described in detail herein, but only two comparison data are described as examples.

User retention rate: in the internet industry, a user starts to use an application program within a certain period of time, and after a certain period of time, the user still continues to use the application program is regarded as a user to be saved, and the proportion of the user to newly added users at that time is the user saving rate. The user retention rate reflects the quality of the application program and the ability of retaining the user, and is very important comparison data in the application program evaluation process.

The user retention rate is generally calculated as follows:

the user retention rate is 100% of the number of logged-in users/the number of newly added users in the newly added users;

the newly added user number is the number of users newly logging in the application in a certain time period, generally the first whole day; the login user number is the number of users who have logged in at least once from the current time after logging in the application.

Common user retention rates include: next day retention rate, 3 rd day retention rate, 7 th day retention rate, and 30 th day retention rate. Assuming that, in the embodiment of the present invention, for a certain tool application, the retention rate of day 7 needs to be obtained, a calculation formula of the retention rate of day 7 is as follows:

the 7 th day retention rate (the number of registered users on the 7 th day among the users newly added on the first day)/the total number of users newly added on the first day.

Conversion (Take Rates, also known as conversion Rates): the conversion behavior is the ratio of the number of conversion behaviors completed to the total number of clicks in a statistical period. The calculation formula can be: the conversion rate is the access amount/total access amount of the corresponding action; the index of conversion is significant in comparison with: measure how attractive the application content is to the user.

Taking the conversion rate of the game for payment as an example, the calculation formula of the conversion rate can be:

the conversion rate is the total number of paid users/the total number of game registered users multiplied by 100%.

As can be seen from the two examples, the comparison data cannot be directly extracted from the application database, but can be determined after statistical analysis is performed on the application data.

S105: and comparing the comparison data of different target application programs to obtain a comparison result.

In the actual use process, the comparison result can be directly a segment of text description, can also be a result such as a chart and the like which is more convenient for showing the comparison effect, and can also be the combination of the chart and the text description.

Illustratively, table 1 below shows the comparative results shown in the graph.

TABLE 1

Application program	Retention rate of next day	Retention rate on day 7	Retention rate on day 30	Conversion rate
					1	60％	42％	25％	10％
2	51％	41％	15％	9％

The operator can judge through this table 1 that the user stickiness of application 2 is lower than that of application 1.

It is understood that the comparison of such applications is a lateral comparison, which is understood to be a comparison of the same type of target application during the same historical period. The same type can be embodied by the first label from each target application program, the first label embodies the classification of a certain dimensionality to which the target application program belongs, and the comparison data can be obtained from the application program data stored in the application program database and comprises data in the same historical period.

In the scheme provided by the embodiment, the finally obtained comparison result is obtained according to the commonality of each target application program, namely, the label corresponding to each application program, the pertinence of the comparison result is strong, and the weak link of the target application program can be highlighted, so that a more effective reference basis is provided for the upgrading and improving of the application program by an application program operator; the scheme provided by the embodiment of the invention has high automation degree, reduces the working pressure of operators and improves the working efficiency of the operators.

In addition, when the label corresponding to the target application program is not recorded in the server, the server needs to know the label corresponding to the target application program through other means, but in the prior art, the label dividing method is unclear, a unified and feasible standard is not provided, and the label corresponding to the application program cannot be automatically distinguished. In an embodiment of the present invention, in another preferred implementation manner of determining a tag corresponding to each target application, on the basis of the method embodiment shown in fig. 1 or fig. 2, as shown in fig. 3, the step of selecting a tag from tags corresponding to all target applications as the first tag (S102) may include:

s1023: and acquiring a program characteristic value of each target application program aiming at various preset program characteristics.

Specifically, the preset program feature may include at least one of the following features:

a paint feature of the application;

the operating mode characteristics of the application;

a network connection status characteristic of the application;

the operating mode characteristics of the application.

It should be noted that the drawing referred to herein refers to the stroke and composition of the picture in the application scene, and may be understood as the aesthetic style of the drawing, and the game is an exemplary application, and taking the game as an example, the drawing features of the game may include: swordsmen write a real painting style, a swordsmen beautiful painting style, a cartoon Q edition painting style, a western magic painting style, a Japanese cartoon painting style and the like; the stroke of the application of the reading class may include: a realistic painting style, a cartoon painting style, a wash painting style, and the like.

For example, the operation mode features of the application program may include: the system comprises a single-machine version operation mode and a network version operation mode, wherein the single-machine version operation mode can be understood as an application program with the single-machine version operation mode, and can be normally operated without a special server; the network version operation mode can be an application program which is understood to have the network version operation mode, and a special server is required to be relied on for normal operation.

Illustratively, the network networking status characteristics of the application include: the system comprises a strong networking and a weak networking, wherein the strong networking is used for keeping connection with a special server in real time in the running process of an application program to exchange data so as to facilitate the normal running of the application program; the weak networking is that during the operation of the application program, the connection with a special server is mainly used for data storage, charging and other operations, and it can be understood that when the connection with the special server is disconnected, the application program can be operated, and when the connection with the special server is connected, a specific function can be realized or specific content can be operated. It will be appreciated that weakly networked applications may also operate in situations where the network environment is unstable. The specialized server referred to herein is a server that the application operator specifically configures for the application so that the application can be remotely connected to the specialized server over a network.

Exemplary operating mode features of the application may include: mouse operation mode, keyboard operation mode, touch operation mode, handle operation mode and the like. The mouse operation mode means that the application program is mainly operated by the mouse in operation; the keyboard operation mode means that the application program is operated mainly through a keyboard; the touch operation mode means that the operation of the application program is mainly realized by the touch mode; for example, a target application program is installed in the touch screen mobile phone, and when the target application program runs, operations such as clicking, sliding, dragging and the like can be performed on the screen of the touch screen mobile phone to realize control over the target application program; the handle operation mode is to operate the application program through a handle corresponding to the application program.

It should be noted that, the same application is installed on different devices, and the operation modes may be different, for example, the application is installed on a touch device, the operation mode characteristic of the application may be a touch operation mode, and the application is installed on a computer, and the operation mode characteristic of the application may be a mouse operation mode, a keyboard operation mode, or a handle operation mode; the operating mode of the application program can be characterized as a handle operating mode when the application program is installed on a television.

After various preset program characteristics of the target application program are determined, the program characteristic values of the target application program for the various preset application programs can be obtained according to the corresponding relations between the preset program characteristics and the program characteristic values, and illustratively, the program characteristic values corresponding to the swordsmen realistic-writing paintings can be obtained if the painting characteristics of the target application program are swordsmen realistic-writing paintings. It should be noted that each type of preset program feature may include a plurality of program sub-features, and each sub-program feature is set with a weight, so that a target comprehensive program feature value is calculated more accurately, for example, the preset program feature is a paint feature, and then the paint sub-feature corresponding to the paint feature is: scene sub-features, character image sub-features, and the like.

When the preset program feature includes a drawing feature of an application program, the step of obtaining a program feature value (S1023) of each target application program for each type of preset program feature may include:

for each target application, the following four steps are performed:

the first step is as follows: and obtaining a target picture of the target application program.

In practical application, pictures in different scenes of a target application program can be captured as target pictures, and specifically, the pictures can be captured at the same time interval in different scenes; and capturing pictures in different scenes in the target application program in real time, and taking the captured pictures as target pictures. Furthermore, the captured pictures need to be preprocessed, repeated pictures in the captured pictures are removed, and pictures which are unclear or have picture quality which does not meet the preset requirements in the captured pictures are removed, so that interference pictures are removed, and the determined characteristic value of the target application program for the characteristics of the picture style is more accurate. The target screen includes at least one screen.

The second step is that: searching a second database for the first picture similar to the target picture, wherein the second database is used for storing pictures of various application programs.

The second database may be the same as or different from the first database. In practical applications, the first screen may be determined by searching in the screens stored in the second database and comparing the searched screen with the target screen, where the searching may be performed one by one or according to a certain rule, and of course, the searching is not limited to the above-mentioned searching method, and is not listed here.

In an embodiment of the present invention, the step of searching for the first picture similar to the target picture in the second database may include the following three steps a to c:

step a: and acquiring the picture characteristic value of the target picture aiming at various preset picture characteristics.

The picture characteristics are basic elements which have infection value and can embody the design connotation. For example, the target application is a game, and the preset screen features may include: game scenes, special effects, props, roles, or UI (User Interface) designs, etc., and when the target application is a reading application, the preset screen features may include: background, font, buttons, interactive means, etc. After the target picture is determined, the specific content of each type of preset picture feature is determined accordingly, and the picture feature values of the target picture for each type of preset picture feature can be obtained according to the corresponding relation between each type of preset picture feature and the picture feature value.

Step b: and according to the preset weight of various preset picture characteristics, carrying out weighted calculation on the obtained picture characteristic value to obtain a target comprehensive picture characteristic value of the target picture.

It should be noted that, for different preset picture features, the same weight may be set, or different weights may be set, and in practical application, after normalization processing is performed on the weights set for various picture features, the sum of all weights is equal to 1.

Specifically, the principle of obtaining the target integrated picture characteristic value is similar to the principle of obtaining the target integrated program characteristic value, and is not described herein again.

Step c: searching a first picture similar to the target picture in a second database through a heuristic search algorithm according to the target comprehensive picture characteristic value and the comprehensive picture characteristic value of each picture in the second database, wherein the comprehensive picture characteristic value of each application program is as follows: and carrying out weighted calculation on the application program aiming at various preset picture characteristics according to the weights of the various preset picture characteristics.

It should be noted that, in the embodiment of the present invention, various preset image features in a searched image are identified through an image identification algorithm, and a comprehensive image feature value of an application program corresponding to the searched image is determined according to a corresponding relationship between the identified various preset image features and feature values, where the image identification algorithm is an image identification algorithm, and is an algorithm for processing, analyzing, and understanding an image by using a computer to identify various targets and objects in different modes.

Specifically, the principle of obtaining the first picture by searching is similar to the principle of obtaining the similar application program, and details are not described here.

The third step: and determining the first application program corresponding to the searched first picture.

In practical application, there is a corresponding relationship between the screen and the application program, and when one of the screen and the application program is determined, the other one is also determined, and the first application program corresponding to the first screen can be determined according to the corresponding relationship.

The fourth step: and acquiring the characteristic value of the target application program aiming at the picture characteristic according to the determined characteristic value of the first application program aiming at the picture characteristic.

Since the first frame is a similar frame of the target frame, the probability that the feature values of the first application program and the target application program for the frame features are similar is high, and therefore, the feature value of the target application program for the frame features can be acquired according to the determined feature value of the first application program for the frame features.

In the embodiment of the present invention, if there is one first application, the characteristic value of the first application for the wind-drawing characteristic is the characteristic value of the target application for the wind-drawing, for example, the wind-drawing characteristic of the first application is a swordsman beautiful wind-drawing, and according to the relationship between the wind-drawing characteristic and the characteristic value, assuming that the characteristic value corresponding to the swordsman beautiful wind-drawing is determined to be 10, the wind-drawing characteristic of the target application is a swordsman beautiful wind-drawing, and the characteristic value for the wind-drawing characteristic is 10.

If a plurality of first application programs exist, setting a weight for the characteristic value of the painting characteristic of each application program, and performing weighted calculation on the characteristic value of the painting characteristic of each application program to obtain a comprehensive painting characteristic value of the first application program; the target application program takes the characteristic value of the integrated drawing as the characteristic value of the drawing; the application program with the highest similarity to the target application program may also be selected from the first application programs, and the feature value of the target application program for the painting is the feature value of the painting feature of the selected application program.

When the preset program features include the operation mode features of the application program, the step of obtaining the program feature values of each target application program for each type of preset program features (S1023) may include:

for each target application, the following three steps are performed:

the method comprises the following steps: and judging whether the target application program has a server side or not.

In practical application, various types of data of the target application program can be collected and recorded, a callback value for testing whether the target application program has a service end program exists in the recorded data, and whether the target application program has the service end is judged according to the callback value.

If the judgment result in the first step is yes, executing a second step: and determining the characteristic value of the target application program aiming at the operation mode characteristic as the characteristic value representing the network version operation mode.

In practical application, if the callback value is a preset value, it can be determined that the target application program exists in the server, the operation mode characteristic of the target application program is determined to be a network version operation mode, and meanwhile, the characteristic value of the target application program for the operation mode characteristic is determined according to the preset characteristic value corresponding to the network version operation mode.

In addition, after the step of determining that the characteristic value of the target application program for the operation mode characteristic is the characteristic value representing the network version operation mode is successfully executed, the method provided by the embodiment of the invention may further include the following two steps:

the first step is as follows: and determining a target charging mode of the target application program according to the transmission control protocol adopted by the target application program.

The Transmission Control Protocol (TCP) is a connection-oriented, reliable transport layer communication Protocol based on a byte stream. According to the TCP protocol, a target charging mode is determined by judging whether a target application program performs data transmission with a special server in real time, if so, the target charging mode can be determined to be charging under the stable condition of WIFI (Wireless Fidelity) or GPRS (General Packet Radio Service), and if not, the target charging mode can be determined to be short message charging.

The charging mentioned here is the cost of data transmission between the target application program and the special server, for example, the cost may be the consumption of network traffic, and the short message charging may be the cost of converting the consumption of network traffic into money, and the cost is charged to the user of the target application program through the short message. It should be noted that, if WIFI or GPRS is unstable, and data transmission between the target application and the dedicated server cannot be performed normally, the target application cannot operate normally.

The second step is that: and determining a characteristic value of the target application program aiming at the network connection state characteristic according to the target charging mode.

In practical application, if the target charging mode is short message charging, it indicates that the target application program does not need to exchange data with a special server in real time, and can determine that the target application program is a weak networking characteristic aiming at the network connection state characteristic; if the target charging mode is charging under the stable WIFI or GPRS condition, it indicates that the target application program needs to exchange data with a special server in real time, and the target application program can be determined to be a strong networking characteristic aiming at the network connection state characteristic.

The strong networking characteristic and the weak networking characteristic respectively correspond to preset characteristic values, and once the target application program determines the network connection state characteristic, the characteristic values of the network connection state characteristic are determined accordingly.

And under the condition that the judgment result of the first step is negative, executing a third step: and determining the characteristic value of the target application program aiming at the operation mode characteristic as the characteristic value representing the single-version operation mode.

In practical application, if the callback value is a non-preset value, it can be determined that the target application program does not have a server, the operation mode characteristic of the target application program is determined to be a single-machine operation mode, and meanwhile, the characteristic value of the target application program for the operation mode characteristic is determined according to the preset characteristic value corresponding to the single-machine operation mode.

When the preset program characteristics include the operation mode characteristics of the application program, the operation mode characteristics of the target application program and the characteristic value for the operation mode characteristics can be determined.

When the preset program features include operation mode features of the application program, the step of obtaining program feature values of each target application program for various types of preset program features (S1023) may include:

for each target application, the following four steps are performed:

the first step is as follows: target operation data of the target application program is obtained.

The operation data is data generated by operating an application program being executed. Specifically, the method for acquiring the operation data comprises the following steps: and acquiring operation data of a user of the application program, the mobile phone end testing machine and the computer simulator when the target application program runs through the application program acquisition system.

In the embodiment of the invention, the operation data acquired by the application program acquisition system can be extracted through the application program information filtering system, the extracted operation data is preprocessed, repeated operation data is removed, and operation data which is obviously irrelevant to the required operation data in the extracted operation data is removed, so that the target operation data is obtained. It should be noted that, acquiring data, storing data, and extracting data are all prior art, and are not described herein again.

For example, the obtained target operation data may be: the mouse click rate, the dragging frequency and the dragging rate, the keyboard tap frequency and the high-frequency keyboard keys, and the mouse click rate, the click times, the dragging frequency and the dragging times in a specific timestamp, wherein the high-frequency keyboard keys are keyboard keys with the use times before a preset ranking or exceeding a preset threshold value in a statistical time period.

The second step is that: and carrying out statistical analysis on the target operation data. And determining the association relation between the target operation data and the time.

In the embodiment of the present invention, when the target operation data includes a plurality of types of data, the number of times, frequency, rate, and the like of occurrence of each type of data in a fixed time interval may be counted, and for example, when the target operation data includes the number of mouse clicks, the number of mouse clicks in 2 seconds may be counted. After the target operation data is subjected to statistics, the target operation data after the statistics is analyzed in relation to time, and in an exemplary way, the change trend of the target operation data after the statistics is analyzed along with the time.

Specifically, a graph of the counted target operation data and time is established, and the relationship between the target operation data and the time is analyzed according to the graph, so as to determine the association relationship between the target operation data and the time. It should be noted that, an existing statistical analysis method may be used to perform statistical analysis on the target operation data, or a statistical analysis method may be designed to perform statistical analysis on the target operation data.

The third step: inputting the target operation data and the incidence relation into a pre-established operation mode classification model to obtain a classification result of the target operation data aiming at the operation mode, wherein the operation mode classification model is as follows: and pre-training the obtained operation data, the incidence relation between the operation data and time and the corresponding relation model among the operation mode classification.

Specifically, the operation mode classification model is as follows: and the classification model is solved by adopting a second heuristic search algorithm.

It should be noted that the operation manner classification model may be a mathematical model, which is established according to the correspondence between the operation data, the time and the operation manner classification obtained by pre-training, and the operation manner classification models adopted by the application programs of different types may be the same or different and are mainly determined by the operation manner. Under different application scenes, the same application program can adopt different operation mode classification models because the corresponding relations among the operation data, the incidence relation between the operation data and the time and the operation mode classification are different.

The fourth step: and obtaining the characteristic value of the target application program aiming at the operation mode characteristic according to the classification result.

In practical application, there is a corresponding relationship between the classification result and the operation mode features, and it can be understood that each operation mode feature corresponds to a numerical range, the classification result is matched with the numerical range of the operation mode features, and the matched operation mode features are determined as the operation mode features of the target application program. Each operation mode characteristic is preset with a characteristic value, and after the operation mode characteristic of the target application program is determined, the characteristic value of the target application program for the operation mode characteristic is also determined.

S1024: and for each target application program, performing weighted calculation on the acquired program characteristic value according to the preset weight of various preset program characteristics to obtain a target comprehensive program characteristic value of the target application program.

It should be noted that, for different preset program features, the same weight may be set, or different weights may be set, and in practical application, after normalization processing is performed on the weights set for various program features, the sum of all the weights is equal to 1.

The weighting calculation is a concept in statistics, and a target comprehensive program characteristic value of the target application program can be calculated according to program characteristic values of various preset program characteristics and weights corresponding to the preset program characteristics.

S1025: determining similar application programs corresponding to each target application program from the application programs according to the characteristic values of the target comprehensive program and the comprehensive program characteristic values of the application programs of which the program information is recorded in the first database; wherein, the comprehensive program characteristic value of each application program is as follows: and performing weighted calculation on the program characteristic values of the application program aiming at the various preset characteristics according to the weights of the various preset program characteristics.

The integrated program feature value of each application program may be calculated in advance by weighting and stored in the first database, or may be calculated by weighting when the integrated program feature value of the application program is acquired. The calculation method of the integrated program feature value of each application program is the same as the calculation method of the target integrated program feature value of the target application program, and is not described herein again.

In practical applications, the target integrated program feature value may be compared with the integrated program feature values of the respective application programs one by one, an absolute value of a difference between the target integrated program feature value and each integrated program feature value is calculated, and the application program corresponding to the absolute value below the preset threshold value is determined as a similar application program. Of course, the searched comprehensive program characteristic value of the application program can be compared with the target comprehensive program characteristic value according to a heuristic search algorithm, the absolute value of the difference value between the comprehensive program characteristic value and the target comprehensive program characteristic value is recorded, the steps of searching, comparing and recording are repeated until the searching is completed, and the similar application program is determined according to the recorded absolute value.

It can be understood that the heuristic search algorithm is an algorithm that evaluates each searched position by searching in a state space to obtain the best position, and then searches from the position to a target, so that a large number of meaningless search paths can be omitted, and the efficiency is improved.

The heuristic search algorithm comprises an ant colony algorithm, a genetic algorithm, a simulated annealing algorithm and the like, wherein the ant colony algorithm is a random search optimization method from nature, is a colony heuristic behavior in the biological world, and is continuously applied to multiple fields of combination optimization, artificial intelligence, communication and the like; genetic Algorithm (Genetic Algorithm) is a calculation model of a biological evolution process simulating natural selection and Genetic mechanism of Darwinian biological evolution theory, and is a method for searching an optimal solution by simulating the natural evolution process; the simulated annealing algorithm is an optimization algorithm which can effectively avoid trapping in a serial structure which is locally minimum and finally tends to global optimum by endowing a search process with time-varying probability jump property and finally tends to zero.

S1026: and selecting a label from labels which are commonly corresponding to similar application programs of the target application programs as a first label.

Of course, the tags corresponding to the similar applications may be predetermined, for example, the database stores the correspondence between the applications and the tags, but does not store the tags corresponding to the target applications, at this time, the tags corresponding to the similar applications of each target application may be determined first, and then the first tag may be selected from the tags.

It should be noted that, in the actual usage process, step S1026 may also use the selection manner of the first tag shown in the foregoing method embodiment: that is, the tags corresponding to the similar applications of each target application are determined, and then the tag corresponding to the target tag item is selected as the first tag from the determined tags; the method can also comprise the steps of firstly determining the labels which correspond to the similar application programs of the target application programs, then displaying the determined labels on a user interface, selecting the labels by an operator, and finally determining the labels selected by the operator as the first labels.

In a preferred embodiment, the tag is not data that is inherent to the application itself; and are not keywords extracted from the abstract and the introduction corresponding to the application program.

On the basis of any one of the method embodiments shown in fig. 1 to 3, as shown in the fourth flowchart of an application program comparison method shown in fig. 4, in a case that the number of target application programs to be compared is not greater than 1, that is, in a case that the number of target application programs to be compared is equal to 1, the method may further include:

s201: a tag is selected from the tags of the target application as the second tag.

It should be noted that, selecting a tag from tags of a target application requires determining a tag corresponding to the target application first, and a method for determining a tag corresponding to the target application may refer to the method embodiments shown in fig. 1 and 3, and specifically, refer to the method embodiments shown in fig. 1 and 2 when selecting a tag from tags of a target application.

Illustratively, the server records a corresponding relationship between the application program and the tag, and determines tags 2 to 6 corresponding to the target application program B according to the corresponding relationship between the application program and the tag recorded locally, then the server displays the tags 2 to 6 on a user interface, an operator clicks and selects the tags 2, 3 and 5, the server receives selection information that the operator selects the tags 2, 3 and 5, and determines the tags 2, 3 and 5 as second tags.

S202: and obtaining the application program data corresponding to the second label in the application program data of the target application program as second type data.

It should be noted that the specific implementation manner of this step S202 is the same as that of step S103, and the specific implementation of step S202 may refer to step S103.

S203: and obtaining comparison data of the target application program from the second type data.

Similarly, the specific implementation manner of step S203 is the same as step S104, and the specific implementation of step S203 may refer to step S104.

S204: and obtaining a comparison reference value according to the comparison data of all the application programs corresponding to the second label.

It should be noted that all the application programs described herein may refer to all the application programs recorded in a certain database, and the database is a database storing comparison data of a large number of application programs.

It can be understood that the server may determine all the application programs corresponding to the second tag according to the correspondence between the application programs and the tags, and then obtain the comparison data of each application program, and further obtain the comparison reference value, such as an average value, a maximum value, and the like.

Illustratively, the comparison data is user conversion rates, the server determines that the application program corresponding to the second tag includes the application programs 2, 3, 6 and 7 according to the correspondence between the application program and the tag, then the server obtains the user conversion rates corresponding to the application programs 2, 3, 6 and 7 respectively from a database storing the comparison data of the application programs, and then calculates average values of the user conversion rates corresponding to the application programs 2, 3, 6 and 7 respectively.

S205: and comparing the comparison data of the target application program with the comparison reference value to obtain a comparison result.

The specific implementation manner of step S205 is the same as step S105, and the specific implementation of step S205 can refer to step S105. Unlike step S105, step S205 is to compare the comparison data of a certain target application with the corresponding comparison reference value, and step S105 is to compare the similar comparison data of different target applications.

In the scheme provided by this embodiment, if the number of target applications to be compared is greater than 1, the finally obtained comparison result is obtained for the commonality of each target application, that is, for the label corresponding to each application in common, and if the number of target applications to be compared is not greater than 1, the finally obtained comparison result is obtained for the target application and the comparison reference value, and the comparison result is also obtained for the label corresponding to each application in common, and the pertinence of the comparison result is strong, so that the weak link of the target application can be highlighted, and thus a more effective reference basis is provided for the application operator for upgrading and improving the application; the scheme provided by the embodiment of the invention has high automation degree, reduces the working pressure of operators and improves the working efficiency of the operators.

Corresponding to the embodiment of the method shown in fig. 1, as shown in fig. 5, an embodiment of the present invention further provides an application program comparison apparatus, where the apparatus includes:

a judging module 110, configured to judge whether the number of target application programs to be compared is greater than 1;

a first selecting module 120, configured to select a tag from tags commonly corresponding to the target applications as a first tag if the determination result of the determining module 110 is yes;

a first obtaining module 130, configured to obtain, as first type data, application data corresponding to the first tag in the application data of each target application;

a second obtaining module 140, configured to obtain comparison data of each target application from the first type of data of each target application, where the comparison data is: data for application program comparison;

the first comparison module 150 is configured to compare comparison data of different target applications to obtain a comparison result.

Corresponding to the embodiment of the method shown in fig. 2, as shown in fig. 6, specifically, the first selecting module 120 may include:

a first obtaining sub-module 1201, configured to obtain a target tag item;

the first selecting sub-module 1202 is configured to select, from tags that correspond to all target applications, a tag that belongs to the target tag item as a first tag.

Specifically, the first selection module 120 may include a display sub-module and a first determination sub-module (not shown in the figure):

the display submodule is used for displaying the labels which are commonly corresponding to all the target application programs on a user interface;

the first determining submodule is used for determining the selected label as the first label according to the selection operation of the user on the user interface.

In practical applications, specifically, the first obtaining module 130 may include a third determining sub-module and an extracting sub-module, where:

a third determining submodule, configured to determine, according to a preset tag list, a target database field corresponding to the first tag in an application database, where a correspondence between the tag and the database field is stored in the tag list;

and the extraction submodule is used for extracting the application program data matched with the target application program and the target database field from the application program database as the first type of data aiming at each target application program.

Corresponding to the embodiment of the method shown in fig. 3, as shown in fig. 7, specifically, the first selecting module 120 may include:

an obtaining submodule 1203, configured to obtain a program feature value of each target application program for each type of preset program features;

a second obtaining submodule 1204, configured to perform weighted calculation on the obtained program feature value according to weights of various preset program features set in advance for each target application program, so as to obtain a target comprehensive program feature value of the target application program;

a second determining submodule 1205, configured to determine, according to the target integrated program feature value and the integrated program feature value of each application program of the recorded program information in the first database, a similar application program corresponding to each target application program from each application program; wherein, the comprehensive program characteristic value of each application program is as follows: the application program is obtained by carrying out weighted calculation on the program characteristic values of the application program aiming at various preset characteristics according to the weights of the various preset program characteristics;

the second selection submodule 1206 is configured to select a tag from tags corresponding to similar applications of the target applications, as the first tag.

In practical applications, specifically, the preset program feature includes at least one of the following features:

a paint feature of the application;

the operating mode characteristics of the application;

a network connection status characteristic of the application;

the operating mode characteristics of the application.

In practical applications, specifically, when the preset program feature includes a painting feature of an application program, the obtaining sub-module 1203 is configured to perform, for each target application program, obtaining processing on a program feature value, and the obtaining sub-module 1203 may include a first obtaining unit, a searching unit, a first determining unit, and a first obtaining unit (not shown in the figure), where:

a first obtaining unit configured to obtain a target screen of a target application;

a searching unit, configured to search a second database for a first screen similar to the target screen, where the second database is used to store screens of respective application programs;

the first determining unit is used for determining a first application program corresponding to the searched first picture;

and the first acquisition unit is used for acquiring the characteristic value of the target application program aiming at the picture characteristic according to the determined characteristic value of the first application program aiming at the picture characteristic.

In practical applications, specifically, the search unit may include an obtaining subunit, and a searching subunit (not shown in the figure), where:

the acquisition subunit is used for acquiring the picture characteristic values of the target picture aiming at various preset picture characteristics;

the obtaining subunit is configured to perform weighted calculation on the obtained picture feature values according to weights of various preset picture features set in advance, so as to obtain a target comprehensive picture feature value of the target picture;

a searching subunit, configured to search, according to the target integrated picture feature value and the integrated picture feature value of each picture in a second database, a first picture similar to the target picture in the second database through a heuristic search algorithm, where the integrated picture feature value of each application is: and carrying out weighted calculation on the application program aiming at various preset picture characteristics according to the weights of the various preset picture characteristics.

In practical applications, specifically, when the preset program features include running mode features of an application program, the obtaining sub-module 1203 is configured to perform, for each target application program, obtaining processing on a program feature value, and the obtaining sub-module 1203 may include: a judging unit, a second determining unit and a third determining unit, wherein:

the judging unit is used for judging whether the target application program has a server side or not;

a second determining unit, configured to determine, when the determination result of the determining subunit is yes, that a feature value of the target application for the operation mode feature is a feature value representing a network version operation mode;

and a third determining unit, configured to determine that the feature value of the target application for the operation mode feature is a feature value representing a single-version operation mode if the determination result of the determining subunit is negative.

In practical applications, specifically, when the preset program feature includes a network connection status feature of an application program, the apparatus may further include a first determining module and a second determining module, where:

the first determining module is used for determining a target charging mode of the target application program according to a transmission control protocol adopted by the target application program under the condition that the characteristic value of the target application program for the operation mode characteristic is a characteristic value representing a network version operation mode;

and the second determination module is used for determining the characteristic value of the target application program aiming at the network connection state characteristic according to the target charging mode.

In practical applications, specifically, when the preset program features include operation mode features of an application program, the obtaining sub-module 1203 is configured to perform, for each target application program, obtaining processing on a program feature value, and the obtaining sub-module 1203 may include a second obtaining unit, a fourth determining unit, a second obtaining unit, and a third obtaining unit (not shown in the figure), where:

a second acquisition unit configured to acquire target operation data of a target application;

the fourth determining unit is used for performing statistical analysis on the target operation data and determining the incidence relation between the target operation data and time;

a second obtaining unit, configured to input the target operation data and the association relationship into a pre-established operation manner classification model, and obtain a classification result of the target operation data for an operation manner, where the operation manner classification model is: pre-training the obtained operation data, the incidence relation between the operation data and time and the corresponding relation model among the operation mode classification;

and a third obtaining unit, configured to obtain, according to the classification result, a feature value of the target application program for an operation mode feature.

Corresponding to the method embodiment shown in fig. 4, as shown in fig. 8, in the case that the number of target applications to be compared is not greater than 1, the apparatus may further include:

a second selecting module 210, configured to select a tag from tags of the target application as a second tag if the determination result of the determining module 110 is negative;

a third obtaining module 220, configured to obtain, as second-class data, application data corresponding to the second tag in the application data of the target application;

a fourth obtaining module 230, configured to obtain comparison data of the target application from the second type of data;

a fifth obtaining module 240, configured to obtain a comparison reference value according to the comparison data of all the application programs corresponding to the second tag;

and the second comparison module 250 is configured to compare the comparison data of the target application program with the comparison reference value to obtain a comparison result.

It is 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 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. An application program comparison method, comprising:

comparing the comparison data of different target application programs to obtain a comparison result;

the step of selecting a tag from tags corresponding to all target applications as a first tag includes:

2. The method of claim 1, wherein in the case that the number of target applications to be compared is not greater than 1, the method further comprises:

3. The method according to claim 1, wherein the step of selecting the tag from tags commonly corresponding to the target applications as the first tag comprises:

obtaining a target label item;

and selecting the label belonging to the target label item from the labels corresponding to all the target application programs as a first label.

4. The method according to claim 1, wherein the step of selecting the tag from tags commonly corresponding to the target applications as the first tag comprises:

displaying the labels corresponding to all the target application programs on a user interface;

and determining the selected label as a first label according to the selection operation of the user on the user interface.

5. The method of claim 1, wherein the pre-programmed features comprise at least one of:

a paint feature of the application;

the operating mode characteristics of the application;

a network connection status characteristic of the application;

the operating mode characteristics of the application.

6. The method according to claim 5, wherein when the preset program features comprise the painting features of the application program, the step of obtaining the program feature values of each target application program for the various types of the preset program features comprises:

for each target application, performing the following steps:

obtaining a target picture of a target application program;

searching a first picture similar to the target picture in a second database, wherein the second database is used for storing pictures of all application programs;

determining a first application program corresponding to the searched first picture;

and acquiring the characteristic value of the target application program aiming at the picture characteristic according to the determined characteristic value of the first application program aiming at the picture characteristic.

7. The method of claim 6, wherein the step of searching the second database for the first picture similar to the target picture comprises:

acquiring picture characteristic values of the target picture aiming at various preset picture characteristics;

according to the preset weight of each type of preset picture features, carrying out weighted calculation on the obtained picture feature value to obtain a target comprehensive picture feature value of the target picture;

searching a first picture similar to the target picture in a second database through a heuristic search algorithm according to the target comprehensive picture characteristic value and the comprehensive picture characteristic value of each picture in the second database, wherein the comprehensive picture characteristic value of each application program is as follows: and carrying out weighted calculation on the application program aiming at various preset picture characteristics according to the weights of the various preset picture characteristics.

8. The method according to claim 5, wherein when the preset program features include operation mode features of the application program, the step of obtaining program feature values of each target application program for various types of preset program features includes:

for each target application, performing the following steps:

judging whether a target application program has a server side or not;

if so, determining that the characteristic value of the target application program aiming at the operation mode characteristic is a characteristic value representing a network version operation mode;

and if not, determining that the characteristic value of the target application program aiming at the operation mode characteristic is a characteristic value representing a single-version operation mode.

9. The method according to claim 8, wherein when the preset program feature comprises a network connection status feature of an application program, after the step of determining that the feature value of the target application program for the operation mode feature is a feature value representing a network version operation mode, the method further comprises:

determining a target charging mode of the target application program according to a transmission control protocol adopted by the target application program;

and determining a characteristic value of the target application program aiming at the network connection state characteristic according to the target charging mode.

10. The method according to any one of claims 6 to 9, wherein when the preset program features include operation mode features of the application program, the step of obtaining program feature values of each target application program for each type of preset program features includes:

for each target application, performing the following steps:

acquiring target operation data of a target application program;

performing statistical analysis on the target operation data to determine the incidence relation between the target operation data and time;

inputting the target operation data and the association relation into a pre-established operation mode classification model to obtain a classification result of the target operation data for an operation mode, wherein the operation mode classification model is as follows: pre-training the obtained operation data, the incidence relation between the operation data and time and the corresponding relation model among the operation mode classification;

and obtaining a characteristic value of the target application program aiming at the operation mode characteristic according to the classification result.

11. The method according to claim 1, wherein the step of respectively obtaining the application data corresponding to the first tag from the application data of each target application as the first type of data comprises:

determining a target database field corresponding to the first tag in an application program database according to a preset tag list, wherein the tag list stores the corresponding relation between the tag and the database field;

and for each target application program, extracting application program data matched with the target application program and the target database field from the application program database to serve as first type data.

12. An application program comparison apparatus, comprising:

the first comparison module is used for comparing the comparison data of different target application programs to obtain a comparison result;

the first selection module comprises:

the acquisition submodule is used for acquiring a program characteristic value of each target application program for various preset program characteristics;

the second obtaining submodule is used for carrying out weighted calculation on the obtained program characteristic value according to the preset weight of various preset program characteristics aiming at each target application program to obtain a target comprehensive program characteristic value of the target application program;

the second determining submodule is used for determining similar application programs corresponding to each target application program from the application programs according to the characteristic value of the target comprehensive program and the comprehensive program characteristic value of each application program of the recorded program information in the first database; wherein, the comprehensive program characteristic value of each application program is as follows: the application program is obtained by carrying out weighted calculation on the program characteristic values of the application program aiming at various preset characteristics according to the weights of the various preset program characteristics;

and the second selection submodule is used for selecting a label from labels which are commonly corresponding to the similar application programs of the target application programs and used as the first label.

13. The apparatus of claim 12, wherein in the case that the number of target applications to be compared is not greater than 1, the apparatus further comprises:

the second selection module is used for selecting a label from labels of the target application program as a second label under the condition that the judgment result of the judgment module is negative;

a third obtaining module, configured to obtain application data corresponding to the second tag in application data of the target application, as second-class data;

a fourth obtaining module, configured to obtain comparison data of the target application from the second type of data;

a fifth obtaining module, configured to obtain a comparison reference value according to the comparison data of all the application programs corresponding to the second tag;

and the second comparison module is used for comparing the comparison data of the target application program with the comparison reference value to obtain a comparison result.

14. The apparatus of claim 12, wherein the first selection module comprises:

a first obtaining submodule, configured to obtain a target tag item;

and the first selection submodule is used for selecting the label belonging to the target label item from the labels which are commonly corresponding to all the target application programs as a first label.

15. The apparatus of claim 12, wherein the first selection module comprises:

the display submodule is used for displaying the labels which are commonly corresponding to all the target application programs on the user interface;

and the first determining submodule is used for determining the selected label as the first label according to the selection operation of the user on the user interface.

16. The apparatus of claim 12, wherein the pre-programmed features comprise at least one of:

a paint feature of the application;

the operating mode characteristics of the application;

a network connection status characteristic of the application;

the operating mode characteristics of the application.

17. The apparatus according to claim 16, wherein when the preset program feature includes a painting feature of an application program, the obtaining sub-module is configured to perform a process of obtaining a program feature value for each target application program, and the obtaining sub-module includes:

18. The apparatus of claim 17, wherein the search unit comprises:

19. The apparatus according to claim 16, wherein when the preset program characteristic includes an operation mode characteristic of an application program, the obtaining sub-module is configured to perform, for each target application program, obtaining processing of a program characteristic value, and the obtaining sub-module includes:

a second determining unit, configured to determine, when the determination result of the determining unit is yes, that a feature value of the target application for the operation mode feature is a feature value representing a network version operation mode;

and a third determining unit, configured to determine that the feature value of the target application for the operation mode feature is a feature value indicating a single-version operation mode if the determination result of the determining unit is negative.

20. The apparatus of claim 19, wherein when the pre-set program characteristic comprises a network connection status characteristic of an application, the apparatus further comprises:

21. The apparatus according to any one of claims 17 to 20, wherein when the preset program feature includes an operation mode feature of an application program, the obtaining sub-module is configured to perform a process of obtaining a program feature value for each target application program, and the obtaining sub-module includes:

22. The apparatus of claim 12, wherein the first obtaining module comprises: