CN117709923A

CN117709923A - Network management function recommendation method, device, equipment and computer storage medium

Info

Publication number: CN117709923A
Application number: CN202211079070.1A
Authority: CN
Inventors: 董燕梅; 王涛
Original assignee: Ruijie Networks Co Ltd
Current assignee: Ruijie Networks Co Ltd
Priority date: 2022-09-05
Filing date: 2022-09-05
Publication date: 2024-03-15

Abstract

The application discloses a network management function recommending method, a device, equipment and a computer storage medium, which relate to the technical field of wireless network management, in the method, according to function evaluation data sets corresponding to different user types, importance evaluation can be carried out on each candidate network management function in different user type dimensions respectively, so that a corresponding interaction function set is generated, and network management functions in the interaction function set are selected based on the importance of the functions to the user, so that the method is more suitable for the user of the corresponding type, and the user can find the required function more quickly when using the function, thereby improving the interaction efficiency of the network management function.

Description

Network management function recommendation method, device, equipment and computer storage medium

Technical Field

The application relates to the technical field of computers, in particular to the technical field of wireless network management, and provides a network management function recommending method, device and equipment and a computer storage medium.

Background

With the development progress of the wireless internet, the use of the wireless network has been gradually spread to various industries such as government, restaurant, education and medical. With the proliferation of wireless network users, the use of wireless networks without awareness has not been able to meet the related business requirements.

In order to visually manage the use situation of the wireless network, the user types of the cloud network system are gradually increased, for example, different user types such as professional operation and maintenance personnel, full life cycle users (including before-sale, during-sale and after-sale) are covered besides common users, and as the requirement of the users increases, the function types of the cloud network system are gradually increased, for example, classification such as network optimization, security management, intelligent analysis and base station management is included, and the functions are further subdivided. However, for different users, the required functions are different, so that the user requirements of the different users can be accurately and rapidly positioned, and the method is an important measure for improving the user experience.

Therefore, how to help users find the required functions in the system with complicated functions is a urgent problem to be solved.

Disclosure of Invention

The embodiment of the application provides a network management function recommending method, device, equipment and computer storage medium, which are used for helping a user to quickly find a required function in a system with complicated functions.

In one aspect, a network management function recommendation method is provided, and the method includes:

Acquiring a target function evaluation data set corresponding to a target user type, wherein the target function evaluation data set comprises evaluation data required by evaluating a plurality of candidate network management functions in the dimension of the target user type;

determining a target evaluation value set corresponding to the target user type based on the target function evaluation data set, wherein each evaluation value in the target evaluation value set is used for representing the importance degree of a candidate network management function on the target user type;

determining at least one target network management function from the plurality of candidate network management functions based on the target evaluation value set to generate an interaction function set of the target user type;

and responding to a function display request initiated by a target user, and sending the interactive function set of the target user type to the target user, so that the cloud network client performs function display based on the interactive function set, wherein the user type corresponding to the target user is the target user type.

In one aspect, there is provided a network management function recommendation apparatus, the apparatus comprising:

the data acquisition unit is used for acquiring a target function evaluation data set corresponding to a target user type, wherein the target function evaluation data set comprises evaluation data required for evaluating a plurality of candidate network management functions in the dimension of the target user type;

The determining unit is used for determining a target evaluation value set corresponding to the target user type based on the target function evaluation data set, wherein each evaluation value in the target evaluation value set is used for representing the importance degree of a candidate network management function on the target user type;

a function set generating unit configured to determine at least one target network management function from the plurality of candidate network management functions based on the target evaluation value set, so as to generate an interaction function set of the target user type;

the function display unit is used for responding to a function display request initiated by a target user, sending the interactive function set of the target user type to the target user, so that the cloud network client performs function display based on the interactive function set, and the user type corresponding to the target user is the target user type.

Optionally, the plurality of candidate network management functions include a plurality of levels of candidate network management functions, and the data acquisition unit is specifically configured to:

for the candidate network management functions of the multiple levels, the following operations are respectively executed:

generating a corresponding function transfer diagram based on transfer relations among the candidate network management functions aiming at the candidate network management functions of each level; in the function transfer diagram, a connecting edge between two nodes represents a transfer relation between two corresponding candidate network management functions;

Based on the function transfer graph, obtaining a plurality of relation pairs, wherein each relation pair comprises two nodes with connected edges in the function transfer graph;

and determining the obtained multiple relation pairs as function diagram evaluation data corresponding to the candidate network management functions of each level.

Optionally, when the target user type is the first user type, the function evaluation data set includes evaluation data of multiple data types;

the determining unit is specifically configured to:

determining evaluation values corresponding to the candidate network management functions respectively according to the evaluation data of each data type;

and determining the target evaluation value set based on the respective weights of the plurality of data types and the respective evaluation values corresponding to the plurality of candidate network management functions.

Optionally, the determining unit is specifically configured to:

for the plurality of candidate network management functions, respectively executing the following operations:

determining a first evaluation value for a candidate network management function based on historical interaction data of a plurality of users on the candidate network management function and historical interaction data of all candidate network management functions of a hierarchy where the candidate network management function is located;

Determining a second evaluation value based on the evaluation values of the plurality of users to the one candidate network management function respectively;

determining a third evaluation value based on the evaluation value of the one candidate network management function by the industry;

and determining a fourth evaluation value based on the function diagram evaluation data corresponding to the candidate network management function of each level.

Optionally, the determining unit is specifically configured to:

initializing a fourth evaluation value of the plurality of candidate network management functions;

iteratively updating the fourth evaluation value after the initialization of the plurality of candidate network management functions based on the output and input of each node in the function diagram evaluation data until the iteration termination condition is met; wherein each iteration update comprises:

and updating a fourth evaluation value of the candidate network management function aiming at the candidate network management function based on the entering degree of the target node of the candidate network management function in the function transfer diagram and the exiting degree of the connecting edge pointing to other nodes of the candidate network management function.

Optionally, the determining unit is specifically configured to:

and determining a target evaluation value set corresponding to the first user type based on the first evaluation value, the second evaluation value, the third evaluation value, the fourth evaluation value and the respective weights of the dimensions of the data types corresponding to each candidate network management function.

Optionally, when the target user type is a second user type, the target function evaluation data set includes evaluation values of at least one candidate network management function by a plurality of users belonging to the second user type;

the determining unit is specifically configured to:

preprocessing the target function evaluation data set to obtain a preprocessed target function evaluation data set, wherein the preprocessed function evaluation data set comprises evaluation values of the plurality of candidate network management functions by the plurality of users respectively;

and determining the evaluation value corresponding to the candidate network management function according to the evaluation values corresponding to the plurality of users respectively aiming at each candidate network management function so as to obtain a target evaluation value set corresponding to the second user type.

Optionally, the apparatus further comprises a function customizing unit, configured to:

receiving a function customization request sent by the target user, wherein the function customization request is used for indicating to display according to the appointed network management function sequence;

and updating the interactive function set of the target user based on the network management function sequence specified in the function customization request, so that the cloud network client performs function display based on the updated interactive function set.

In one aspect, a computer device is provided comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when the computer program is executed.

In one aspect, a computer storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of any of the methods described above.

In one aspect, a computer program product is provided that includes a computer program stored in a computer readable storage medium. The processor of the computer device reads the computer program from the computer readable storage medium, and the processor executes the computer program so that the computer device performs the steps of any of the methods described above.

In the embodiment of the application, the target function evaluation data set corresponding to the target user type is obtained, the target function evaluation data set comprises evaluation data required by evaluating a plurality of candidate network management functions in the dimension of the target user type, and the target evaluation value set corresponding to the target user type is determined based on the target function evaluation data set, each evaluation value in the evaluation value set is used for representing the importance degree of one candidate network management function to the target user type, and further, at least one target network management function is determined from the plurality of candidate network management functions based on the evaluation value sets corresponding to the target user type respectively, so as to generate an interactive function set of the target user type, thus, when the target user belonging to the target user type initiates a function display request, the interactive function set of the target user type can be sent to the target user, so that the cloud network client can generate a corresponding interactive function set based on the interactive function set, the network management functions in the interactive function set are selected based on the importance of the functions to the user type, and therefore, the interactive function set can be more suitable for the user type, and the user can find the function of the user can be more quickly used when the user is required.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described below, and it is apparent that the drawings in the following description are only embodiments of the present application, and other drawings may be obtained according to the provided drawings without inventive effort for a person having ordinary skill in the art.

Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;

fig. 2 is a schematic architecture diagram of a cloud network system according to an embodiment of the present application;

fig. 3 is a flow chart of a network management function recommending method according to an embodiment of the present application;

fig. 4 is a schematic diagram of a functional diagram evaluation data acquisition flow provided in an embodiment of the present application;

FIG. 5 is a diagram illustrating an example of obtaining functional diagram evaluation data according to an embodiment of the present application;

fig. 6 is a schematic flow chart of PR value calculation according to an embodiment of the present application;

fig. 7 is an interface schematic diagram of a function display provided in an embodiment of the present application;

FIG. 8 is a schematic diagram of a user-defined interface provided in an embodiment of the present application;

fig. 9 is a schematic structural diagram of a network management function recommendation device according to an embodiment of the present application;

Fig. 10 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application;

fig. 11 is a schematic diagram of a composition structure of another electronic device to which the embodiments of the present application are applied.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure. Embodiments and features of embodiments in this application may be combined with each other arbitrarily without conflict. Also, while a logical order is depicted in the flowchart, in some cases, the steps depicted or described may be performed in a different order than presented herein.

It will be appreciated that in the following detailed description of the present application, related data such as user assessment data, interaction data, etc., may be relevant permissions or agreements to be obtained when the embodiments of the present application are applied to a particular product or technology, and the collection, use, and processing of the relevant data may be required to comply with relevant laws and regulations and standards of the relevant country and region.

In order to facilitate understanding of the technical solutions provided in the embodiments of the present application, some key terms used in the embodiments of the present application are explained here:

network management function: including the integrated management of hardware and software involved in the network to monitor, test, configure, analyze, evaluate, control, etc. the network resources to achieve better network experience, the network management functions include, but are not limited to, network optimization, security management, intelligent analysis, and base station management, although the sub-functions may also be subdivided for each function.

User type: in the cloud network system, the processing content of different user types is different, and thus the used network processing functions are correspondingly different, the user types include, but are not limited to, common users, professional operation and maintenance personnel, full life cycle users (including pre-sale, in-sale and after-sale) and the like, wherein the common users belong to network service providers, namely the party providing the network, and the common users use the network party, and the network service of the common users can be managed through the cloud network system, and the full life cycle users (including pre-sale, in-sale and after-sale) are based on the life cycle of the users.

Webpage ranking (English: page Rank, abbreviation: PR) algorithm: the PR algorithm was originally used as a calculation method for the importance of internet web pages, but in fact, the PR algorithm may be defined on any directed graph. The basic idea of the PR algorithm is to define a random walk model, i.e. a first order markov chain, on the directed graph describing the behavior of the random walk along the directed graph to randomly access the nodes. Under certain conditions, the probability of accessing each node in the limit condition converges to the stable distribution, and the stable probability value of each node is the PR value of the node to represent the importance of the node.

At present, the types of users, network management functions and the like of a cloud network system are gradually increased, and for different users, the required functions are different, so that the user requirements of different users can be accurately and rapidly positioned, and the cloud network system is an important measure for improving the user experience.

In the related art, when a network management function is used, the following methods are generally adopted:

(1) User-defined interaction based on a visual framework, in the mode, a user can realize the user-defined ordering of cloud network functions by dragging the control, the mode needs the user to manually control the ordering, adding or hiding of the functions, the user experience is reduced to a certain extent when the user performs function self-definition while carrying out busy business, and the user is required to be familiar with each function, so that the learning cost is high.

(2) Based on the automatic interaction of user search, in this way, the user can input the function searching condition, the cloud network system matches the function meeting the condition through the predefined program, so that the impression of the user on the related function is blurred, and whether the related function exists or not can not be determined in future use, and more time cost is required to search, such as a manual checking and the like, so that the usability of the system is reduced to a certain extent.

In the practical application process, the processing content which different user types tend to in the cloud network system is found to be different, and then the used network processing functions are correspondingly different, so that if different functions can be provided for different users with emphasis according to the user types, the matching degree between the displayed functions and the current users can be improved, and the users can find the required functions more quickly.

Based on the above, the embodiments of the present application provide a network management function recommendation method, apparatus, device, and computer storage medium, in the method, by acquiring a target function evaluation data set corresponding to a target user type, where the target function evaluation data set includes evaluation data required for evaluating a plurality of candidate network management functions in a dimension of the target user type, and determining a target evaluation value set corresponding to the target user type based on the target function evaluation data set, where each evaluation value in the evaluation value set is used to characterize an importance degree of one candidate network management function to the target user type, and further, determining at least one target network management function from the plurality of candidate network management functions based on the evaluation value set corresponding to the target user type, so as to generate an interaction function set of the target user type, and when a target user belonging to the target user type initiates a function display request, the interaction function set of the target user type is sent to the target user, so that a cloud network client performs function display based on the interaction function set, and a corresponding interaction function set can be generated according to different user types, where network management functions in the interaction function set are based on the importance degree of the candidate network management functions to the user type can be more quickly found for the user type, and the network management functions can be better applied to the user.

In addition, considering that the function requirement of the common user has the characteristic of discreteness, the accuracy measured from a single dimension is lower, so that the importance of each network management function can be evaluated by combining the evaluation data of multiple data type dimensions, the accuracy of the evaluation result is improved, and the function display is provided for the common user more accurately.

The following description is made for some simple descriptions of application scenarios applicable to the technical solutions of the embodiments of the present application, and it should be noted that the application scenarios described below are only used for illustrating the embodiments of the present application and are not limiting. In the specific implementation process, the technical scheme provided by the embodiment of the application can be flexibly applied according to actual needs.

The solution provided in the embodiment of the present application may be applied to most network management scenarios, as shown in fig. 1, which is a schematic application scenario provided in the embodiment of the present application, where the scenario may include a terminal device 101 and a cloud management server 102.

The terminal device 101 may be any device capable of installing and operating a cloud network client, for example, may be a mobile phone, a tablet computer (PAD), a notebook computer, a desktop computer, a smart television, a smart vehicle-mounted device, a smart wearable device, and the like. The terminal device 101 may be provided with a cloud network client provided by the cloud management server 102, and the application related in the embodiment of the present application may be a software client, or may be a client such as a web page, an applet, etc., where the cloud management server 102 is a background server corresponding to the software, the web page, the applet, etc., and is not limited to the specific type of the client.

The cloud management server 102 is configured to provide a background service for a cloud network client, for example, may be an independent physical server, may be a server cluster or a distributed system formed by a plurality of physical servers, and may be a cloud server that provides a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, that is, a content distribution network (english: content Delivery Network, abbreviated: CDN), and basic cloud computing services such as big data and an artificial intelligence platform, but is not limited thereto.

It should be noted that, the network management function recommendation method in the embodiment of the present application may be executed by the cloud management server 102 alone, or may be executed by the cloud management server 102 and the terminal device 101 together. For example, by acquiring the function evaluation data sets corresponding to the user types respectively by the cloud management server 102, determining the evaluation value set corresponding to the corresponding user type based on the function evaluation data set corresponding to the user type respectively, further determining at least one target network management function from the candidate network management functions based on the evaluation value set corresponding to the user type respectively, so as to generate the interactive function set of the corresponding user type, and returning the corresponding interactive function set based on the requested user type when the terminal device 101 requests to display. Alternatively, the cloud management server 102 generates various user type interaction function sets based on the above process, sends the interaction function sets to the terminal device 101, and then the terminal device selects the corresponding interaction function set to display based on the current logged-in user type, which is not specifically limited herein, and the following description mainly uses the cloud management server 102 as an example.

Taking the example of the cloud tube server 102 performing the steps described above, the cloud tube server 102 may include one or more processors 1021, memory 1022, and I/O interfaces 1023 that interact with terminals, etc. In addition, the cloud management server 102 may further configure a database 1024, and the database 1024 may be used to store the above-mentioned function evaluation data set, interaction function set, and the like. The memory 1022 of the cloud management server 102 may further store program instructions of the network management function recommendation method provided in the embodiment of the present application, where the program instructions, when executed by the processor 1021, may be configured to implement steps of the network management function recommendation method provided in the embodiment of the present application, so as to implement a network management function recommendation process.

In this embodiment, the terminal device 101 and the cloud management server 102 may be directly or indirectly connected through one or more networks 103. The network 103 may be a wired network, or may be a Wireless network, for example, a mobile cellular network, or may be a Wireless-Fidelity (WIFI) network, or may be other possible networks, which is not limited in this embodiment of the present invention.

It should be noted that, the number of terminal devices and cloud management servers shown in fig. 1 is merely illustrative, and in fact, the number of terminal devices and cloud management servers are not limited, and the embodiments of the present application are not limited specifically.

Referring to fig. 2, a schematic architecture diagram of a cloud network system provided in an embodiment of the present application is shown, where the architecture includes a data storage and processing module, an importance ranking module, an automatic conversion algorithm module, a customized framework module and a front end display module, and these modules may be deployed on a terminal device 101 and a cloud tube server 102, for example, the data storage and processing module, the importance ranking module, and the automatic conversion algorithm module may be deployed on the cloud tube server 102, and the customized framework module and the front end display module may be deployed on the terminal device 101, or of course, may also adopt other deployment manners, which is not limited in this embodiment of the present application.

(1) Data processing and storage module

The method is used for storing original function evaluation data, such as original operation and maintenance personnel evaluation data, full life cycle user evaluation data, user click rate data, intra-industry evaluation data, public user evaluation data and the like, and processing the original function evaluation data through a data preprocessing means to form the original function evaluation data, such as preprocessing through cleaning, filtering and the like to form the original function evaluation data.

(2) Importance ranking module

The data are used for initial function evaluation and are arranged into importance data of each function.

(3) Automatic conversion algorithm module

The automatic interaction is a fully automatic mode without user intervention, namely, through the recommendation of the system, the front end can display recommended functions, and the user can interact with the functions to realize corresponding functions, wherein the interaction depends on the importance ranking calculated by the function importance module. The functional importance module and the automation interaction are required to be converted by an automation algorithm to form a data model to be interacted, namely an interaction data set of each user type.

(4) Customized frame module

The customization framework is a combination of two interaction modes of custom interaction and automation interaction. The user-defined interaction means that the user can customize the functions and sequences to be displayed according to the preference of the user, the user-defined interaction is realized by adopting a visual framework, the user needs to intervene in the interaction mode, and the customized framework is the user-defined interaction interface on the basis of interaction automation.

(5) Front end display module

The front end presents a corresponding interactive interface by switching the user type.

The specific implementation of each module will be specifically described in the following method embodiments, and the details of each module are not repeated here.

The network management function recommending method provided by the exemplary embodiments of the present application will be described below with reference to the accompanying drawings in conjunction with the above-described application scenario, and it should be noted that the above-described application scenario is only shown for the convenience of understanding the spirit and principles of the present application, and embodiments of the present application are not limited in any way in this respect.

Referring to fig. 3, a flowchart of a network management function recommending method provided in the embodiment of the present application is illustrated by taking a server as an execution body as an example, and a specific implementation flow of the method is as follows:

step 301: and acquiring a target function evaluation data set corresponding to the target user type, wherein the target function evaluation data set comprises evaluation data required for evaluating a plurality of candidate network management functions in the dimension of the target user type.

In this embodiment of the present application, the function of step 301 may be implemented by the data processing and storage module described above.

The candidate network management function may be an optional function item in the cloud network system, which may be all functions in the cloud network system or may be a part of functions in the cloud network system.

In one possible implementation, the scope of the candidate network management function may be specified in advance, and then the interactive content of the relevant function module of the system may be customized according to the specified scope. For example, the interactive content customization can be designated for the network optimization related function, and then the network optimization related function is taken as a candidate network management function.

It should be noted that in an actual scenario, there may be multiple user types, and the interactive function set acquisition process of each user type is similar, so that one of them, i.e., the target user type, is described herein as an example. In the embodiment of the present application, considering the different user types, the evaluation data required in the evaluation of the importance of the candidate network function may be different.

In one possible implementation, referring to fig. 2, the target user type may be any one of the following user types:

(1) Professional operation and maintenance personnel refer to users who are responsible for network operation and maintenance work.

(2) Full life cycle users, based on the life cycle in which the user is located, e.g., the user is in a pre-sale stage if the user has not purchased a network service, the user is a pre-sale stage user, and is in an in-sale stage if the user is making a purchase of a network service, the user is an in-sale stage user, and these users can all be categorized as full life cycle users.

(3) The general users refer to other users than the above user types, for example, users who use the network service after purchasing the network service, and these users can manage their own network service through a network management function provided by the client.

The target function evaluation data set for each user type may correspond to the above-described user types as follows, and will be described one by one.

(1) The target function evaluation data set of the professional operation and maintenance personnel can comprise evaluation values of a plurality of professional operation and maintenance personnel on each candidate network management function. For example, an interface may be provided for the professional operation and maintenance personnel to score, so that the professional operation and maintenance personnel may score the candidate network management functions in the interface, for example, after using a certain candidate network management function, the professional operation and maintenance personnel may prompt to score, and the cloud management server records the scoring result.

(2) The target function evaluation data set of the full life cycle user can comprise evaluation values of a plurality of candidate network management functions by the full life cycle user. Similar to the professional operation and maintenance personnel, the interface for scoring the full life cycle user can be provided, so that the full life cycle user can score the candidate network management function in the interface, for example, after the user uses a certain candidate network management function, the user can prompt to score, and the cloud management server records the scoring result.

(3) The target function evaluation data set of the general user may include at least one of the following evaluation data:

1) Historical interaction data of the common user, wherein the historical interaction data comprises candidate network management functions of each user historical interaction, such as the user clicking on the used candidate network management functions.

2) And the plurality of common users respectively evaluate the candidate network management functions.

3) The industry evaluates the management functions for a plurality of candidate networks.

4) And evaluating data by using the function diagram corresponding to the candidate network management function of each level.

The hierarchical division may be performed in the deep order of functions, for example, dividing into a homepage function, sub-functions of the homepage function, and the like, which are subdivided step by step.

In one possible implementation, the candidate network management functions of the same hierarchy may be understood as functions that can be presented simultaneously, for example, the presentation functions may be presented on the same presentation page.

In the practical application process, in the functions of the same hierarchy, after a user uses one of the functions, the user may use the next function, that is, the possibility of transferring between functions of the same hierarchy exists, abstract the transferring process between the functions into a directed graph, and further refine the relation of the transferring functions from the graph to form initial graph data, so as to form an evaluation data model.

Referring to fig. 4 and 5, fig. 4 is a schematic diagram of a flow of obtaining function diagram evaluation data of a candidate network management function of the same hierarchy, and fig. 4 is an exemplary diagram of the function diagram evaluation data of the candidate network management function of the same hierarchy. Since the processing is similar for each level, one of the levels is specifically described herein as an example.

Step 401: generating a corresponding function transfer diagram based on transfer relations among the candidate network management functions aiming at a plurality of candidate network management functions of the same hierarchy; in the function transfer diagram, a connecting edge between two nodes represents a transfer relation between two corresponding candidate network management functions.

Referring to fig. 5, the plurality of candidate network management functions in the same hierarchy include 4 function items including network optimization, intelligent analysis, security management and base station management, in the same hierarchy, a user can only use one function at a time, and there is a probability transfer process between functions in the same hierarchy, and through abstraction of a function transfer relationship, a corresponding function transfer graph can be obtained, and the transfer relationship between functions is organized into an initial graph data model. In the function transfer graph, as shown in fig. 5, each node corresponds to a candidate network management function, each connected edge represents that a transfer relationship exists between two nodes, and the direction of the connected edge represents the transfer direction. Taking node (1) as an example, which corresponds to a network optimization function node, after the user uses the network optimization function, the second user may use (1) or (2) or (3) or (4), and assuming that the user uses (2) for the second time, the third user may use (1) or (2) or (3) or (4), so that there may be a continuous edge directed by node (1) to any other node (including itself), as well as other nodes. Of course, in a practical scenario, there may be a dependency between functions, that is, after one pre-function must be performed, other functions can be performed continuously, so that the number of edges of each node may be different.

In the embodiment of the present application, unless otherwise specified, the connecting edge refers to a direct connecting edge between two nodes.

Step 402: based on the function transfer graph, a plurality of relationship pairs are obtained, each relationship pair comprising two nodes with edges in the function transfer graph.

In the embodiment of the application, the relation pairs are composed of two nodes with the connected edge relations, and a plurality of (v, u) relation pairs can be obtained by counting the connected edge relations in the function transfer graph, wherein v represents the outlet point of the connected edge, and u represents the inlet point of the connected edge. Also taking node (1) as an example, 4 pairs of relationships ((1), (1)), ((1), (2)), ((1), (3)) and ((1), (4)) can be obtained, and so on. The types of the relation pairs can be marked by a directed graph representation, namely, the marks of the function transfer graphs, and the function transfer graphs of different levels adopt different identifications.

Step 403: and determining the obtained multiple relation pairs as function diagram evaluation data corresponding to the candidate network management functions of each level.

Reference is now made to fig. 3.

In this embodiment of the present application, the data processing and storage module may further perform preprocessing, such as data cleaning, filtering, etc., on the obtained evaluation data.

Step 302: and determining a target evaluation value set corresponding to the target user type based on the target function evaluation data set, wherein each evaluation value in the target evaluation value set is used for representing the importance degree of a candidate network management function on the target user type.

In this embodiment, the process of step 302 may be implemented by the importance ranking module shown in fig. 2. Similarly, when the user types are different, the corresponding importance determination manners are different, and the description is respectively performed for each user type.

When the target user type is the first user type, the first user type may be a normal user, and the target function evaluation data set includes evaluation data of the plurality of data types, so that for each data type, based on the evaluation data of the data type, evaluation values corresponding to each candidate network management function are determined, and then the evaluation values of the plurality of data types are summarized to obtain final evaluation values corresponding to each candidate network management function.

Specifically, since the evaluation value calculation process for each candidate network management function is similar, description will be made here taking one of the candidate network management functions as an example, and the evaluation value of the following data type may be included for one of the candidate network management functions.

(1) When the data type is the historical interaction data of the user, the first evaluation value can be determined based on the historical interaction data of the candidate network management function by a plurality of users and the historical interaction data of all candidate network management functions of the hierarchy where the candidate network management function is located.

In one possible implementation manner, taking interaction as an example of a click operation, if the first evaluation value is a user click rate of the candidate network management function, the calculation may be performed as follows:

wherein func _i Characterizing the ith candidate network management function, thenCharacterization of func _i Is used for the user click rate of (a),is func _i The number of times clicked, N, is the total number of times the candidate network management function of the same hierarchy is clicked.

In general, the importance of a function frequently used by a user should be higher, and thus the importance of the function can be judged by assisting the click rate.

(2) When the data type is an evaluation value of each candidate network management function by a general user, the second evaluation value may be determined based on evaluation values of one candidate network management function by a plurality of users, respectively.

In one possible implementation manner, for each candidate network management function, the average value of the evaluation values of each common user may be taken as a second evaluation value, and recorded as

(3) When the data type is the evaluation value of the industry to the plurality of candidate network management functions, a third evaluation value can be determined based on the evaluation value of the industry to one candidate network management function

Wherein the functions that are important to the industry or the functions that are important to the user are not necessarily frequently used, and thus the importance of each function can be measured from different angles.

(4) When the data type is the function map evaluation data corresponding to the candidate network management function of each level, the fourth evaluation value may be determined based on the function map evaluation data corresponding to the candidate network management function of each level.

In one possible implementation, the importance of each candidate network management function may be measured using PR values, i.e., the PR value of each candidate network management function may be calculated as the fourth evaluation value.

Specifically, the calculation of the PR value is an iterative process, and the fourth evaluation values after the initialization of the candidate network management functions are iteratively updated until the iteration termination condition is satisfied by initializing the fourth evaluation values of the candidate network management functions and then evaluating the output and input degrees of each node in the data based on the function map. For example, each function func may be _i Of course, other possible values may be set, and the embodiment of the present application does not limit this.

Referring to fig. 6, a flow chart of PR value calculation is shown, which includes the following steps:

step 601: PR values for each candidate network management function are initialized.

Step 602: and updating PR values of each candidate network management function based on the outbound degree and inbound degree of each node in the function diagram evaluation data.

It should be noted that, when the current iteration is updated for the first time, the PR value is an initial value, and when the current iteration is updated for other than the first time, the PR value is the PR value after the last update.

Wherein, at each iteration update, for each candidate network management function, the fourth evaluation value of the candidate network management function may be updated based on the ingress degree of the candidate network management function to the target node in the function transfer graph and the egress degrees of other nodes with edges pointing to the candidate network management function.

In one possible implementation, each function func can be performed using the following formula _i PR value update of (c):

wherein,is func _i Taking (1) as an example in fig. 5, the inbound function of (1) includes other functions that there is a tie and the tie points to itself,/a- >Is func _j Is the number of out-degrees; n is the sum of all functions at the same level, alpha is a damping coefficient, the value range is 0-1, the empirical value is generally 0.85, and of course, other values can be taken, and the embodiment of the application does not limit the value.

Step 603: it is determined whether the updated PR satisfies a convergence condition.

If yes, the process ends, and if not, the process jumps to step 602 to continue execution.

Taking fig. 5 as an example, the functions fun can bec _i And (3) setting the initial PR value of (1), calculating an updated PR value based on the formula, judging whether the updated PR value meets a convergence condition after updating, if so, stopping iteration, otherwise, continuing iteration until the iteration reaches the convergence condition, stopping calculation, and finally obtaining the PR value which is the final functional PR value, namely the fourth evaluation value.

Specifically, the convergence condition includes any one of the following conditions:

(1) The difference between the PR value in the last iteration result and the current iteration result is smaller than the error threshold value.

(2) The set maximum number of iterations is reached.

Further, through the above-described procedure, an evaluation value corresponding to each data type can be obtained. See table 1 below for an example of the evaluation values of the individual functions illustrated in fig. 5.

TABLE 1

Further, the corresponding target evaluation value set may be determined based on the evaluation values corresponding to the respective candidate network management functions when the plurality of data types are described above. For example, it can be calculated by the following formula:

in one possible implementation manner, the degree of influence of different data types on the importance is different, so that corresponding weights can be set for different data type dimensions, and then a target evaluation value set corresponding to the first user type can be determined based on the respective weights of multiple data type dimensions and the respective evaluation values corresponding to multiple candidate network management functions, namely, the target evaluation value set corresponding to the first user type is determined based on the first evaluation value, the second evaluation value, the third evaluation value and the fourth evaluation value corresponding to each candidate network management function and the respective weights of the data type dimensions.

When the target user type is the second user type, the second user type may be a professional operation and maintenance person or a full life cycle user, and the target function evaluation data set corresponding to the second user type is evaluated, and the target evaluation value set corresponding to the second user type is determined by the following method:

Preprocessing the target function evaluation data set to obtain a preprocessed target function evaluation data set, wherein the preprocessed target function evaluation data set comprises evaluation values of a plurality of candidate network management functions by a plurality of users respectively, and further, for each candidate network management function, the evaluation value corresponding to the candidate network management function is determined based on the evaluation values corresponding to the plurality of users respectively so as to obtain a target evaluation value set corresponding to a second user type.

In one possible embodiment, for each candidate network management function, the average of the evaluation values of each user may be used as the final evaluation value.

In this embodiment of the present application, when the second user type may be a professional operation and maintenance person, the evaluation data of the operation and maintenance person is organized into the evaluation values of each function to characterize the importance of each function (recorded as) As shown in the following table 2, the importance ranking of each function when the user type shown in fig. 5 is an operation staff is shown as an example:

TABLE 2

In this embodiment, when the second user type may be a full life cycle user, the evaluation data of the full life cycle user is organized into the evaluation values of the functions to characterize the importance of the functions (recorded as ) As shown in Table 3 below, the above-mentioned FIG. 5 isThe illustrated user types are importance ranking of functions when the full life cycle user:

TABLE 3 Table 3

Step 303: at least one target network management function is determined from the plurality of candidate network management functions based on the set of target evaluation values to generate a set of interaction functions of the target user type.

In the embodiment of the present application, the process of step 303 may be implemented by the above-mentioned automated conversion algorithm in modules.

In order to automatically recommend network management functions to users, the data model to be interacted is formed based on the obtained evaluation values of the network management functions and further through conversion of an automatic algorithm. The conversion of the conversion algorithm module is automated to form a model with interactive data.

Specifically, the automatic conversion algorithm module may pre-package a general tool of a quick sorting algorithm, so as to obtain an initial function set to be automatically displayed, and obtain importance ranking data corresponding to each candidate network management function in the function set, that is, the obtained target evaluation value set, so that the general tool of the quick sorting algorithm may be used to sort each evaluation value to obtain a display sequence of each candidate network management function, and form an automatic interactive function set, that is, a data model to be interacted.

So far, each user type can obtain a corresponding interactive function set through the mode.

Step 304: and responding to a function display request initiated by the target user, and sending the interactive function set of the target user type to the target user, so that the cloud network client performs function display based on the interactive function set, wherein the user type corresponding to the target user is the target user type.

In this embodiment of the present application, when a corresponding interactive interface needs to be presented to a user, each network management function in a corresponding interactive function set may be displayed according to a user type of the user.

It should be noted that, the function display request may be triggered under various conditions, for example, when the user needs to implement a certain network management function, a page containing various network management functions needs to be presented to the user, and then the function display request may be triggered; or when the user clicks a sub-page entering a certain network management function, the network management function of the network management function needs to be further displayed, and then the corresponding page needs to be displayed to the user, and the function display request can be triggered.

Of course, in addition to the function presentation request, in some other cases, the interactive function set may be pushed to the user, for example, when a certain network service is recommended to the user, the recommendation request may be triggered to push the network management function related to the network service to the user; or when the user needs to customize the function column representation, a request can be triggered to push the interactive function set of the type of the user to the user so as to facilitate the selection of the user.

In a possible implementation manner, after the interactive function set is obtained, the interactive function set corresponding to each user type may be issued to each cloud network client, so that the client may present a corresponding network management function according to the current logged-in user type.

In a possible implementation manner, when a corresponding interactive interface needs to be presented to a user, a function display request can be sent to the cloud management server through the client, and then the cloud management server can send a corresponding interactive function set to the target user according to the user type of the target user logged in by the client, so that the cloud management network client performs function display based on the interactive function set.

Referring to fig. 7, an interface diagram for showing functions is shown. Here, the several functions referred to in fig. 5 above are still taken as examples, and it can be seen that in the presented interface, the functions are displayed according to the order from high to low, so that the user can find the required functions quickly.

In the embodiment of the application, besides the automatic recommendation function, customized interaction is provided for the user, namely, the user can also perform the customization of function display on the basis of the automatic interaction.

Specifically, the initial function interface may be displayed according to the automatic recommendation manner, if the weak user is not satisfied with the currently displayed function, the weak user may select customization to select the currently displayed function, and further trigger the client to send a function customization request to the cloud management server, where the function customization request is used to indicate to display according to the specified network management function sequence, and further the cloud management server may update the interactive function set of the target user based on the network management function sequence specified in the function customization request, so that, subsequently, when the interface is displayed, the cloud management network client may perform function display based on the updated interactive function set.

Referring to fig. 8, a user-defined interface is shown. In the interaction interface of automatic recommendation, a button capable of displaying a self-defined function can be operated, then the user can enter the self-defined interface, the user can select the function required by the user at the interface, the display sequence is adjusted, and the like, and the next time after the user saves, the user can display according to the user definition.

In summary, in the embodiment of the present application, by distinguishing user types in the cloud management network, using different evaluation indexes as support, customizing and focusing on presenting the network management function concerned by the relevant user, and on this basis, the user can also customize the interaction mode, thereby realizing the automatic and customized mixed interaction, covering different cloud network user types such as public users, professional operation and maintenance personnel, full life cycle users, and the like, effectively attaching to user preferences, and being capable of accurately and rapidly positioning user demands of different users, so that the user can rapidly find target functions in a system with complicated functions, and greatly improving user experience while improving usability of the cloud network system. The customization of the common user type of the cloud network not only enables the evaluation index of the click rate of the user, but also integrates three evaluation indexes of intra-industry evaluation, public user evaluation and functional PR value, and the requirements of public users of the cloud network can be analyzed more accurately through evaluation data selected from different angles.

In addition, the interaction of other user types is customized by adding the data set, or the method of modifying the data set is applied to other network management systems, so that the application range is wider.

Referring to fig. 9, based on the same inventive concept, the embodiment of the present application further provides a network management function recommendation device 90, which includes:

a data obtaining unit 901, configured to obtain a target function evaluation data set corresponding to a target user type, where the target function evaluation data set includes evaluation data required for evaluating a plurality of candidate network management functions in a dimension of the target user type;

a determining unit 902, configured to determine, based on the target function evaluation data set, a target evaluation value set corresponding to the target user type, where each evaluation value in the target evaluation value set is used to characterize an importance degree of a candidate network management function on the target user type;

a function set generating unit 903 configured to determine at least one target network management function from the plurality of candidate network management functions based on the target evaluation value set, so as to generate an interaction function set of the target user type;

The function display unit 904 is configured to send, in response to a function display request initiated by a target user, an interaction function set of the target user type to the target user, so that a cloud network client performs function display based on the interaction function set, where a user type corresponding to the target user is the target user type.

Optionally, the plurality of candidate network management functions include a plurality of levels of candidate network management functions, and the data acquiring unit 901 is specifically configured to:

Optionally, when the target user type is the first user type, the target function evaluation data set includes evaluation data of multiple data type dimensions;

the determining unit 902 is specifically configured to:

Optionally, the determining unit 902 is specifically configured to:

iteratively updating a fourth evaluation value initialized by a plurality of candidate network management functions based on the output degree and the input degree of each node in the function diagram evaluation data until an iteration termination condition is met; wherein each iteration update comprises:

Optionally, the determining unit 902 is specifically configured to:

and determining a target evaluation value set corresponding to the first user type based on the first evaluation value, the second evaluation value, the third evaluation value and the fourth evaluation value corresponding to each candidate network management function and the respective weights of the data type dimensions.

Optionally, when the target user type is the second user type, the target function evaluation data set includes evaluation values of at least one candidate network management function by a plurality of users belonging to the second user type, respectively;

The determining unit 902 is specifically configured to:

preprocessing the target function evaluation data set to obtain a preprocessed target function evaluation data set, wherein the preprocessed target function evaluation data set comprises evaluation values of a plurality of candidate network management functions by a plurality of users respectively;

and determining the evaluation value corresponding to the candidate network management function based on the evaluation values corresponding to the plurality of users respectively for each candidate network management function so as to obtain a target evaluation value set corresponding to the second user type.

Optionally, the apparatus further comprises a function customizing unit 905 for:

receiving a function customization request sent by a target user, wherein the function customization request is used for indicating to display according to a specified network management function sequence;

based on the network management function sequence specified in the function customization request, updating the interactive function set of the target user, so that the cloud network client terminal performs function display based on the updated interactive function set.

By the device, the corresponding interaction function set can be generated according to different user types, and the network management functions in the interaction function set are selected based on the importance of the functions to the user, so that the device is more suitable for the user, and correspondingly, when the user uses the functions, the user can more quickly find the required functions, and the interaction efficiency of the network management functions is improved.

The apparatus may be used to perform the methods shown in the embodiments of the present application, so the descriptions of the foregoing embodiments may be referred to for the functions that can be implemented by each functional module of the apparatus, and are not repeated.

Referring to fig. 10, based on the same technical concept, the embodiment of the application further provides a computer device. In one embodiment, the computer device may be a cloud management server as shown in fig. 1, and the computer device includes a memory 1001, a communication module 1003, and one or more processors 1002 as shown in fig. 10.

Memory 1001 for storing computer programs for execution by processor 1002. The memory 1001 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, a program required for running an instant communication function, and the like; the storage data area can store various instant messaging information, operation instruction sets and the like.

The memory 1001 may be a volatile memory (RAM) such as a random-access memory (RAM); the memory 1001 may also be a nonvolatile memory (non-volatile memory), such as a read-only memory (rom), a flash memory (flash memory), a hard disk (HDD) or a Solid State Drive (SSD); or memory 1001 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. Memory 1001 may be a combination of the above.

The processor 1002 may include one or more central processing units (central processing unit, CPU) or digital processing units, or the like. A processor 1002 for implementing the above-described network management function recommendation method when calling the computer program stored in the memory 1001.

The communication module 1003 is used for communicating with a terminal device and other servers.

The specific connection medium between the memory 1001, the communication module 1003, and the processor 1002 is not limited in the embodiments of the present application. In the embodiment of the present application, the memory 1001 and the processor 1002 are connected by the bus 1004 in fig. 10, and the bus 1004 is depicted by a thick line in fig. 10, and the connection manner between other components is only schematically illustrated, and is not limited to the illustration. The bus 1004 may be divided into an address bus, a data bus, a control bus, and the like. For ease of description, only one thick line is depicted in fig. 10, but only one bus or one type of bus is not depicted.

The memory 1001 stores therein a computer storage medium in which computer executable instructions for implementing the network management function recommendation method of the embodiment of the present application are stored. The processor 1002 is configured to perform some or all of the steps of the network management function recommendation method of each of the above embodiments.

In another embodiment, the computer device may also be other computer devices, such as the terminal device shown in FIG. 1. In this embodiment, the structure of the computer device may include, as shown in fig. 11: communication component 1110, memory 1120, display unit 1130, camera 1140, sensor 1150, audio circuit 1160, bluetooth module 1170, processor 1180, and the like.

The communication component 1110 is for communicating with a server. In some embodiments, a circuit wireless fidelity (Wireless Fidelity, wiFi) module may be included, where the WiFi module is a short-range wireless transmission technology, and the computer device may help the user to send and receive information through the WiFi module.

Memory 1120 may be used to store software programs and data. The processor 1180 performs various functions of the terminal device and data processing by executing software programs or data stored in the memory 1120. Memory 1120 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. The memory 1120 stores an operating system that enables the terminal device to operate. The memory 1120 in the present application may store an operating system and various application programs, and may also store codes for executing the network management function recommendation method in the embodiment of the present application.

The display unit 1130 may also be used to display information input by a user or information provided to the user and a graphical user interface (graphical user interface, GUI) of various menus of the terminal device. In particular, the display unit 1130 may include a display 1132 disposed on a front surface of the terminal device. The display 1132 may be configured in the form of a liquid crystal display, a light emitting diode, or the like. The display unit 1130 may be used to display various network management function recommendations or interaction pages in embodiments of the present application.

The display unit 1130 may also be used to receive input numeric or character information, generate signal inputs related to user settings and function controls of the terminal device, and in particular, the display unit 1130 may include a touch screen 1131 provided on the front of the terminal device, and may collect touch operations on or near the user, such as clicking buttons, dragging scroll boxes, and the like.

The touch screen 1131 may cover the display screen 1132, or the touch screen 1131 may be integrated with the display screen 1132 to implement input and output functions of the terminal device, and the integrated touch screen may be simply referred to as a touch screen. The display unit 1130 may display application programs and corresponding operation steps.

The camera 1140 may be used to capture still images and a user may comment on the image captured by the camera 1140 through an application. The number of cameras 1140 may be one or more. The object generates an optical image through the lens and projects the optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (charge coupled device, CCD) or a Complementary Metal Oxide Semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, which is then passed to a processor 1180 for conversion into a digital image signal.

The terminal device may further comprise at least one sensor 1150, such as an acceleration sensor 1151, a distance sensor 1152, a fingerprint sensor 1153, a temperature sensor 1154. The terminal device may also be configured with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, light sensors, motion sensors, and the like.

Audio circuitry 1160, speaker 1161, microphone 1162 may provide an audio interface between a user and a terminal device. The audio circuit 1160 may transmit the received electrical signal converted from audio data to the speaker 1161, and may be converted into a sound signal by the speaker 1161 to be output. The terminal device may also be configured with a volume button for adjusting the volume of the sound signal. On the other hand, the microphone 1162 converts the collected sound signals into electrical signals, which are received by the audio circuit 1160 and converted into audio data, which are output to the communication component 1110 for transmission to, for example, another terminal device, or to the memory 1120 for further processing.

The bluetooth module 1170 is used for exchanging information with other bluetooth devices with bluetooth module through bluetooth protocol. For example, the terminal device may establish a bluetooth connection with a wearable computer device (e.g., a smart watch) that also has a bluetooth module through the bluetooth module 1170, thereby performing data interaction.

The processor 1180 is a control center of the terminal device, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal device and processes data by running or executing software programs stored in the memory 1120, and calling data stored in the memory 1120. In some embodiments, the processor 1180 may include one or more processing units; the processor 1180 may also integrate an application processor that primarily processes operating systems, user interfaces, applications, etc., with a baseband processor that primarily processes wireless communications. It will be appreciated that the baseband processor described above may not be integrated into the processor 1180. The processor 1180 in the present application may run an operating system, an application program, a user interface display, a touch response, and a network management function recommendation method in the embodiments of the present application. In addition, a processor 1180 is coupled to the display unit 1130.

In some possible embodiments, various aspects of the network management function recommendation method provided herein may also be implemented in the form of a program product comprising program code for causing a computer device to perform the steps of the network management function recommendation method according to various exemplary embodiments of the present application described herein above, when the program product is run on a computer device, e.g. the computer device may perform the steps of the various embodiments.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The program product of embodiments of the present application may employ a portable compact disc read only memory (CD-ROM) and include program code and may run on a computing device. However, the program product of the present application is not limited thereto, and in the present application, the readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with a command execution system, apparatus, or device.

The readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with a command execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including, for example, object oriented programming languages such as Java, C++ and the like as well as conventional procedural programming languages, such as the "C" language or similar programming languages, which may be used in the programming code of a client in a terminal device as described above including JavaScript, front end framework exact, vue and the like. The program code may execute entirely on the user's computing device, partly on the user's equipment, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the elements described above may be embodied in one element in accordance with embodiments of the present application. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.

Furthermore, although the operations of the methods of the present application are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application 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.

While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims

1. A network management function recommendation method, the method comprising:

2. The method of claim 1, wherein the plurality of candidate network management functions, including a plurality of levels of candidate network management functions, obtain the target function evaluation data set, comprises:

3. The method of claim 1, wherein the set of functional assessment data comprises assessment data of a plurality of data types when the target user type is a first user type;

the determining, based on the target function evaluation data set, a target evaluation value set corresponding to the target user type includes:

4. The method of claim 3, wherein the determining, for each data type of the evaluation data, the respective evaluation value for the plurality of candidate network management functions comprises:

5. The method of claim 4, wherein determining a fourth evaluation value based on the functional diagram evaluation data corresponding to the candidate network management functions of each tier comprises:

6. The method of claim 4, wherein determining the set of target evaluation values based on the weights for each of the plurality of data types and the evaluation values for each of the plurality of candidate network management functions comprises:

the target evaluation value set is determined based on the first evaluation value, the second evaluation value, the third evaluation value, the fourth evaluation value and the respective weights of the data type dimensions corresponding to each candidate network management function.

7. The method according to any one of claims 1 to 6, wherein when the target user type is a second user type, the target function evaluation data set includes evaluation values of at least one candidate network management function by a plurality of users belonging to the second user type, respectively;

determining a target evaluation value set corresponding to the target user type based on the target function evaluation data set, including:

8. The method of any of claims 1-6, wherein after sending the set of interactive functions of the target user type to the target user in response to a target user initiated function presentation request, the method further comprises:

9. A network management function recommendation device, the device comprising:

10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that,

the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 8.

11. A computer storage medium having a computer program stored thereon, characterized in that,

which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.

12. A computer program product comprising a computer program, characterized in that,