Knowledge point monitoring management method, device, server, medium and product

Abstract

The embodiment of the present application provides a monitoring and management method, device, server, medium and product for knowledge points. In this method, the indicators of each stage of the life cycle of the knowledge point can be monitored. If a certain indicator of the target stage exceeds the corresponding preset indicator range, the number of times the indicator corresponding to the target stage exceeds the standard is recorded. Since the sensitivity levels of different stages are different, the target sensitivity level corresponding to the target stage can be found from the correspondence between the preset stages and the sensitivity levels. If the number of times the standard is exceeded is higher than or equal to the number corresponding to the target sensitivity level, the preset management plan corresponding to the target stage is executed, thereby achieving the purpose of automatic monitoring and automatic management of knowledge points.

Description

Technical Field

[0001] The present application relates to the field of data maintenance technology, and more specifically, to a monitoring and management method, device, server, medium and product for knowledge points. Background Art

[0002] There are multiple knowledge points stored in the database. Users can obtain the knowledge points they need through query statements. In order to enable users to obtain accurate knowledge points, operation and maintenance personnel are required to monitor and maintain the knowledge points so that the knowledge points stored in the database are accurate.

[0003] Currently, operation and maintenance personnel are required to monitor and discover knowledge points to be maintained and manage the knowledge points, which makes the maintenance process of knowledge points inefficient. Summary of the invention

[0004] In view of this, the present application provides a knowledge point monitoring and management method, device, server, medium and product.

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] According to a first aspect of an embodiment of the present disclosure, a method for monitoring and managing knowledge points is provided, including:

[0007] Obtain indicators of each stage of the target knowledge point, the stages include: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recovery stage, the knowledge editing stage is the stage of editing the target knowledge point, the knowledge uploading stage refers to the stage of uploading the target knowledge point edited in the knowledge editing stage to the database, the knowledge review stage refers to the stage of accuracy review of the target knowledge point uploaded to the database, the knowledge association stage refers to the stage of calculating the associated knowledge points whose correlation with the target knowledge point that has passed the review is greater than a first threshold, and establishing the association relationship between the associated knowledge points and the target knowledge point, the knowledge retrieval stage refers to the query statement based on the user input, The stage of searching and hitting the target knowledge point, the knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to the stage of setting the target knowledge point in a state that cannot be accessed by the user; the corresponding indicators of the knowledge editing stage include: the editing time of the target knowledge point, and at least one of the number of times the target knowledge point is edited, the corresponding indicators of the knowledge uploading stage include: the upload time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded, the corresponding indicators of the knowledge review stage include: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed, the corresponding indicators of the knowledge association stage include: the number of knowledge points associated with the target knowledge point, the corresponding indicators of the knowledge retrieval stage include: the time of retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit, the corresponding indicators of the knowledge push stage include: the time of pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed, and the corresponding indicators of the knowledge recovery stage include: at least one of the number of times the target knowledge point is recovered;

[0008] Monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range;

[0009] Obtaining a target stage corresponding to an indicator that exceeds a preset indicator range, and recording the number of times the indicator corresponding to the target stage exceeds the target range;

[0010] Finding the target sensitivity level corresponding to the target stage from the preset correspondence between the stage and the sensitivity level;

[0011] If the number of times exceeding the standard is higher than or equal to the number corresponding to the target sensitivity level, the preset management plan corresponding to the target stage is executed, and the preset management plan is a management plan for the target knowledge point under the target stage.

[0012] According to a second aspect of an embodiment of the present disclosure, a monitoring and management device for knowledge points is provided, including:

[0013] The first acquisition module is used to obtain indicators of each stage of the target knowledge point, and the various stages include: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recovery stage. The knowledge editing stage is the stage of editing the target knowledge point, the knowledge uploading stage refers to the stage of uploading the target knowledge point edited in the knowledge editing stage to the database, the knowledge review stage refers to the stage of accuracy review of the target knowledge point uploaded to the database, the knowledge association stage refers to the stage of calculating the associated knowledge points whose correlation with the target knowledge point that has passed the review is greater than the first threshold, and establishing the association relationship between the associated knowledge points and the target knowledge point, the knowledge retrieval stage refers to the stage of retrieving the target knowledge point based on the query statement input by the user, the knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to the stage of setting the target knowledge point in a state that cannot be accessed by the user; the corresponding indicators of the knowledge editing stage include: at least one of the editing time of the target knowledge point and the number of times the target knowledge point has been edited, The indicators corresponding to the knowledge upload stage include: the upload time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded; the indicators corresponding to the knowledge review stage include: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed; the indicators corresponding to the knowledge association stage include: the number of knowledge points associated with the target knowledge point; the indicators corresponding to the knowledge retrieval stage include: the time for retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit; the indicators corresponding to the knowledge push stage include: the time for pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed; the indicators corresponding to the knowledge recycling stage include: at least one of the number of times the target knowledge point is recycled;

[0014] A monitoring module, used to monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range;

[0015] A second acquisition module is used to obtain the target stage corresponding to the indicator exceeding the preset indicator range, and record the number of times the indicator corresponding to the target stage exceeds the standard;

[0016] A search module, used to search for a target sensitivity level corresponding to the target stage from a preset correspondence relationship between stages and sensitivity levels;

[0017] An execution module is used to execute a preset management plan corresponding to the target stage if the number of exceeding the standard is higher than or equal to the number corresponding to the target sensitivity level. The preset management plan is a management plan for the target knowledge point under the target stage.

[0018] According to a third aspect of an embodiment of the present disclosure, a server is provided, including:

[0019] processor;

[0020] a memory for storing instructions executable by the processor;

[0021] Wherein, the processor is configured to execute the instructions to implement the monitoring and management method of knowledge points as described in the first aspect.

[0022] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of a server, the server is enabled to execute the monitoring and management method of knowledge points as described in the first aspect.

[0023] According to the fifth aspect of the embodiment of the present disclosure, a computer program product is provided, which can be directly loaded into the internal memory of a computer, such as the memory included in the server described in the third aspect, and contains software code. After being loaded and executed by the computer, the computer program can implement the monitoring and management method of knowledge points as described in the first aspect.

[0024] Through the above technical solutions, it can be known that in the monitoring and management method of knowledge points provided in the embodiment of the present application, the indicators of each stage of the life cycle of the knowledge points can be monitored. If a certain indicator of the target stage exceeds the corresponding preset indicator range, the number of times the indicator corresponding to the target stage exceeds the standard is recorded. Since the sensitivity levels of different stages are different, the target sensitivity level corresponding to the target stage can be found from the correspondence between the preset stages and the sensitivity levels. If the number of times the standard is exceeded is higher than or equal to the number corresponding to the target sensitivity level, the preset management plan corresponding to the target stage is executed, thereby achieving the purpose of automatic monitoring and automatic management of knowledge points. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0026] Figure 1A flowchart of a method for monitoring and managing knowledge points provided in an embodiment of the present application;

[0027] Figure 2 A structural diagram of a knowledge point monitoring and management device provided in an embodiment of the present application;

[0028] Figure 3 The invention is a block diagram showing a device for a server according to an exemplary embodiment. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] Please refer to the attached Figure 1 , which is a flowchart of a knowledge point monitoring and management method provided in an embodiment of the present application, the method includes the following steps S101 to S105.

[0031] Step S101: Obtain indicators of each stage of the target knowledge point.

[0032] The various stages include: a knowledge editing stage, a knowledge uploading stage, a knowledge review stage, a knowledge association stage, a knowledge retrieval stage, a knowledge push stage and a knowledge recovery stage. The knowledge editing stage is a stage for editing the target knowledge points. The knowledge uploading stage refers to a stage for uploading the target knowledge points edited in the knowledge editing stage to a database. The knowledge review stage refers to a stage for conducting an accuracy review on the target knowledge points uploaded to the database. The knowledge association stage refers to a stage for calculating associated knowledge points whose correlation with the target knowledge points that have passed the review is greater than a first threshold, and establishing an association relationship between the associated knowledge points and the target knowledge points. The knowledge retrieval stage refers to a stage for retrieving the target knowledge points based on a query statement input by a user. The knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to the stage of setting the target knowledge point in a state that cannot be accessed by the user; the corresponding indicators of the knowledge editing stage include: the editing time of the target knowledge point, and at least one of the number of times the target knowledge point is edited, the corresponding indicators of the knowledge upload stage include: the upload time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded, the corresponding indicators of the knowledge review stage include: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed, the corresponding indicators of the knowledge association stage include: the number of knowledge points associated with the target knowledge point, the corresponding indicators of the knowledge retrieval stage include: the time for retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit, the corresponding indicators of the knowledge push stage include: the time for pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed, and the corresponding indicators of the knowledge recovery stage include: at least one of the number of times the target knowledge point is recovered.

[0033] The target knowledge point is any knowledge point stored in the database.

[0034] The life cycle of each knowledge point includes the following stages: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recycling stage.

[0035] For any knowledge point, it may be edited multiple times, that is, it may go through multiple knowledge editing stages. After each knowledge point is edited, it needs to go through the knowledge uploading stage; after uploading, it needs to go through the knowledge review stage; after review, it needs to go through the knowledge association stage.

[0036] For any knowledge point, since the knowledge point may go through multiple knowledge uploading stages, it may also go through multiple knowledge recycling stages.

[0037] Exemplarily, the life cycle of each knowledge point includes the above multiple stages, but for any knowledge point, the stages it has gone through may be one or more of the above multiple stages. The corresponding index for the stage not gone through is 0.

[0038] Exemplarily, the knowledge points are obtained by splitting the source document. The source documents corresponding to different knowledge points may be the same or different.

[0039] For example, the source document includes 10 paragraphs. Exemplarily, the source text is divided into 10 knowledge points, that is, each paragraph corresponds to one knowledge point; exemplary, the source document is divided into 5 knowledge points, and one knowledge point includes one or more paragraphs in the source document; exemplary, the source document is divided into 20 knowledge points, and one knowledge point includes one or more sentences in a paragraph.

[0040] Exemplarily, knowledge points are obtained based on other knowledge points.

[0041] Exemplarily, there are many ways to represent knowledge points, and the present application embodiment provides but is not limited to: any one of a linked list, an array, a structure, and a table. The structure of a knowledge point is described below using a table as an example.

[0042] Exemplarily, the structure of the knowledge point is shown in Table 1.

[0043] Table 1 Structure of knowledge points

[0044]

[0045] Exemplarily, the body of the knowledge includes any one of the knowledge title and the knowledge content; Exemplarily, the knowledge content corresponds to the knowledge title. For example, the knowledge content corresponding to the knowledge title "Deposit period of BOC FuDeng personal notice deposit" can be: Regardless of the actual deposit period, personal notice deposits are divided into two types: 1-day notice deposits and 7-day notice deposits according to the length of the depositor's advance notice. 1-day notice deposits must notify the agreed withdrawal of deposits 1 day in advance, and 7-day notice deposits must notify the agreed withdrawal of deposits 7 days in advance. For 1-day notice deposits and 7-day notice deposits, customers must come to the counter 1 day or 7 days in advance to make an appointment for withdrawal registration. The so-called transfer means that the system can automatically transfer the principal and interest to the customer's current account on the due date, but the customer needs to come to the counter every cycle (7 days) to handle the agreed transfer business.

[0046] Illustratively, the business directory included in the knowledge point may include one-level or multiple-level directories. Table 1 is described by taking the example that the business directory includes two-level directories.

[0047] Exemplarily, the business directory included in the knowledge point is used to indicate the storage path of the knowledge text included in the knowledge point. Exemplarily, the business directory included in the knowledge point is the name of the storage device storing the knowledge point and / or the name of the folder.

[0048] Exemplarily, the knowledge title can be obtained from the knowledge content text based on natural language processing technology; exemplary, the knowledge title can be obtained from the source document.

[0049] Exemplarily, the graph tags included in the knowledge point refer to the attribute information of the knowledge text. Exemplarily, the graph tags include: product (the product described by the content of the knowledge text), bank (which branch or which head office the content of the knowledge text is aimed at), customer type. Exemplarily, customer types include but are not limited to: individual customers, wealth management customers, ordinary customers, private banking customers, BOC wealth management customers, etc.

[0050] Exemplarily, the personalized tags contained in the knowledge points are added by human agents, and the human agents can mark the knowledge points based on their own understanding of the knowledge points. For example, the human agent with the identification A of the human agent in Table 1 marked "Fuden's special time deposit". Next time, the human agent with the identification A of the human agent can accurately search for the knowledge points shown in Table 1 based on the query statement "Fuden's special time deposit".

[0051] It should be noted that sometimes when a human agent searches for a required knowledge point, but the human agent has some of his own understanding of the knowledge point, or has his own habit of naming the knowledge point, then the human agent can manually add his own understanding to the personalized label of the knowledge point. In this way, the thinking habits of different human agents can be taken into account, and the annotation of knowledge can be enriched, thereby speeding up the efficiency of knowledge query and improving the accuracy of knowledge query.

[0052] For example, for the same knowledge point, the personalized tags marked by different human agents may be different or the same; because the human agent needs to log in before searching for knowledge points, the query statement of the human agent includes the identification of the human agent. Therefore, in the process of retrieving knowledge points by personalized tags, it will not be affected by the personalized tags marked by other human agents.

[0053] Exemplarily, the management attribute included in the knowledge point refers to information about the administrator who manages the knowledge point. For example, the management attribute includes the department to which the administrator belongs and the user group to which the administrator belongs.

[0054] The structure of the knowledge points in Table 1 is only an example and does not limit the structure of the knowledge points. For example, the knowledge points may include one or more fields in the business directory, knowledge text, graph label, personality label, and management attribute.

[0055] Exemplarily, the knowledge points also include: keywords of the knowledge text.

[0056] Exemplarily, the knowledge point also includes a receiving group, and the receiving group includes identifiers of users who can query and obtain the knowledge point.

[0057] The knowledge editing stage and the knowledge association stage are explained below in combination with the structure of the above knowledge points.

[0058] The knowledge editing stage may be a process in which the operation and maintenance personnel split the source document based on the knowledge point splitting template to obtain knowledge points. For example, the graph labels and management attributes contained in the knowledge points may be edited by the operation and maintenance personnel.

[0059] In the knowledge association stage, illustratively, obtaining the associated knowledge points corresponding to the target knowledge points may include: context knowledge points (the identifier of the context knowledge point is referred to as the source document context index in the embodiment of the present application) that are derived from the same source document as the target knowledge point. Based on this, the structure of the knowledge points may also be as shown in Table 2.

[0060] Table 2 Structure of knowledge points

[0061]

[0062]

[0063] Exemplarily, there are many ways to represent the identification of knowledge points, for example, using one or more of letters, numbers, and special symbols. Table 2 uses numbers as an example for illustration.

[0064] Exemplarily, the identifier of a knowledge point may be randomly assigned, and different knowledge points may have different identifiers; Exemplarily, the identifier of a knowledge point is related to the position of the knowledge text contained in the knowledge point in the source document.

[0065] For example, the 3rd, 4th and 5th paragraphs contained in the source document correspond to a knowledge point respectively, and the knowledge point shown in Table 2 corresponds to the 4th paragraph contained in the source document, so the "position in the source document" is 4; exemplarily, the source document context index includes a first identifier and a second identifier, as shown in Table 2, the first identifier is 3 and the second identifier is 5.

[0066] Exemplarily, obtaining the associated knowledge point corresponding to the target knowledge point may include: a knowledge point whose relevance to the target knowledge point is greater than a first threshold, and the knowledge point and the target knowledge point do not belong to the same source document.

[0067] Exemplarily, the structure of the knowledge point also includes identification of associated knowledge points that do not belong to the same source document as the target knowledge point. This application refers to "identification of associated knowledge points that do not belong to the same source document as the target knowledge point" as "external associated knowledge index".

[0068] Exemplarily, after the knowledge association stage, the attribute values ​​of the "source document context index" field and the "external association knowledge index" field in the knowledge point are filled.

[0069] Step S102: monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range.

[0070] Exemplarily, different indicators at different stages correspond to different preset indicator ranges.

[0071] Assume that the preset indicator range corresponding to the "editing time of target knowledge points" indicator in the knowledge editing stage is A; the preset indicator range corresponding to the "review time of target knowledge points" indicator in the knowledge review stage is B, and A and B can be different or the same.

[0072] Exemplarily, the preset indicator ranges corresponding to different indicators at different stages may be the same.

[0073] The preset indicator range can be determined based on actual conditions and will not be elaborated here.

[0074] The preset indicator ranges corresponding to different indicators in the same stage may be different or the same.

[0075] Assume that the preset indicator range corresponding to the indicator "editing time of target knowledge point" in the knowledge editing stage is A; the preset indicator range corresponding to the indicator "number of times target knowledge point is edited" in the knowledge editing stage is C. A and C can be different or the same.

[0076] Step S103: Obtain the target stage corresponding to the indicator that exceeds the preset indicator range, and record the number of times the indicator corresponding to the target stage exceeds the target range.

[0077] For example, the number of times each indicator exceeds the standard in each stage can be recorded by a function or a table. The following is an explanation using a table as an example.

[0078] Table 3 Exceeding times of each indicator in each stage

[0079] Stage Name Indicator name Exceeding the limit times Knowledge editing stage Editing time of target knowledge points 1 Knowledge review stage Review duration of target knowledge points 2

[0080] Step S104: searching for the target sensitivity level corresponding to the target stage from the preset correspondence between the stage and the sensitivity level.

[0081] Exemplarily, different stages correspond to different sensitivity levels.

[0082] Step S105: If the number of exceeding the standard is higher than or equal to the number corresponding to the target sensitivity level, a preset management plan corresponding to the target stage is executed, where the preset management plan is a management plan for the target knowledge point at the target stage.

[0083] The number of times corresponding to different sensitivity levels can be preset. The number of times can be 1, 2, 3, 4... any positive number.

[0084] Exemplarily, if the target stage is the knowledge editing stage or the knowledge uploading stage or the knowledge review stage, the preset management solution includes: sending the target knowledge point to an electronic device held by a preset high-level operation and maintenance personnel.

[0085] It is understandable that if the target stage is the knowledge editing stage or the knowledge review stage, it means that the target knowledge point has been edited or reviewed many times and / or the editing or review time is long, which means that the target knowledge point may be wrong, or there is content in the knowledge point that low-level operation and maintenance personnel cannot confirm whether it is correct, so it is necessary to send the target knowledge point to an electronic device held by a preset high-level operation and maintenance personnel so that the high-level operation and maintenance personnel can edit or review the target knowledge point.

[0086] If the target stage is the knowledge uploading stage, it also indirectly indicates that the target knowledge point has been edited or reviewed more times and / or the editing or review time is longer.

[0087] Exemplarily, if the target stage is the knowledge association stage, the preset management solution includes: storing the target knowledge points in a promotion knowledge base, where the knowledge points stored in the promotion knowledge base are knowledge points that need to be popularized by users.

[0088] It is understandable that if the number of associated knowledge points corresponding to the target knowledge point is large, it means that the target knowledge point should be used in many scenarios. In order for the human agents to be able to quickly answer customers' questions, the target knowledge points can be trained to the human agents, that is, the target knowledge points can be popularized, so that when the human agents encounter questions related to the target knowledge points, they can quickly answer the customers.

[0089] Exemplarily, if the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the time required to retrieve the target knowledge point, then the preset management solution includes: splitting the target knowledge point.

[0090] Understandably, if the user takes a long time to retrieve the target knowledge point, it means that it is difficult for the user to retrieve the target knowledge point. The reasons may be as follows: based on the query statement entered by the user, the knowledge point matching the query statement can be searched from the database; if the target knowledge point has a lot of content, and most of the content in the target knowledge point is irrelevant to the query statement entered by the user, and only a small part of the content is very relevant to the query statement entered by the user, then the relevance between the target knowledge point and the query statement may be small, so that the target knowledge point cannot appear in the query results, and the user needs to constantly adjust the query statement in order to retrieve the target knowledge point. In order to reduce the retrieval time and improve the retrieval efficiency, the target knowledge point needs to be split again. That is, the target knowledge point is split into multiple knowledge points.

[0091] Exemplarily, if the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the number of times the target knowledge point is hit, then the preset management plan includes: storing the target knowledge point in a hot knowledge base, and the number of times the knowledge points stored in the hot knowledge base are pushed to users is greater than a preset threshold.

[0092] It can be understood that the target knowledge point is hit when the link of the target knowledge point is clicked by the user and the time the user spends reading the target knowledge point is greater than the preset time.

[0093] Since the target knowledge point is read by a large number of users, the target knowledge point is a popular knowledge point.

[0094] Exemplarily, if the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the duration of pushing the target knowledge point, then the preset management solution includes: pausing the push of the target knowledge point.

[0095] If the time taken to push the target knowledge point to the user's electronic device is long, it means that there may be a problem in the transmission process of the target knowledge point, so the push of the target knowledge point is suspended.

[0096] Exemplarily, if the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the number of times the target knowledge point is pushed, then the preset management solution includes: storing the target knowledge point in a hot knowledge base.

[0097] Since the target knowledge point is pushed in large quantities, the target knowledge point is a popular knowledge point.

[0098] Exemplarily, if the target stage is the knowledge recycling stage, and if the indicator corresponding to the knowledge pushing stage includes the number of times the target knowledge point is recycled, then the preset management solution includes: deleting the target knowledge point.

[0099] It is understandable that since the target knowledge point is recycled a high number of times, it means that the probability that the target knowledge point may be wrong is high, so the target knowledge point can be deleted to prevent the target knowledge point from being edited again and wasting resources.

[0100] In the monitoring and management method of knowledge points provided in the embodiment of the present application, the indicators of each stage of the life cycle of the knowledge point can be monitored. If a certain indicator of the target stage exceeds the corresponding preset indicator range, the number of times the indicator corresponding to the target stage exceeds the standard is recorded. Since the sensitivity levels of different stages are different, the target sensitivity level corresponding to the target stage can be found from the correspondence between the preset stages and the sensitivity levels. If the number of times the standard exceeds the standard is higher than or equal to the number corresponding to the target sensitivity level, the preset management plan corresponding to the target stage is executed, thereby achieving the purpose of automatic monitoring and automatic management of knowledge points.

[0101] The method is described in detail in the embodiments disclosed in the above-mentioned application. The method of the application can be implemented by various forms of devices. Therefore, the application also discloses a device, and a specific embodiment is given below for detailed description.

[0102] like Figure 2 As shown, it is a structural diagram of a knowledge point monitoring and management device provided in an embodiment of the present application, the device comprises: a first acquisition module 21, a monitoring module 22, a second acquisition module 23, a search module 24 and an execution module 25, wherein:

[0103] The first acquisition module 21 is used to obtain indicators of each stage of the target knowledge point, and the various stages include: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recovery stage. The knowledge editing stage is the stage of editing the target knowledge point, the knowledge uploading stage refers to the stage of uploading the target knowledge point edited in the knowledge editing stage to the database, the knowledge review stage refers to the stage of accuracy review of the target knowledge point uploaded to the database, the knowledge association stage refers to the stage of calculating the associated knowledge points whose correlation with the target knowledge point that has passed the review is greater than the first threshold, and establishing the association relationship between the associated knowledge points and the target knowledge point, the knowledge retrieval stage refers to the stage of retrieving the target knowledge point based on the query statement input by the user, the knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to setting the target knowledge point The stage in which the target knowledge point is inaccessible to the user; the corresponding indicators of the knowledge editing stage include: the editing time of the target knowledge point, and at least one of the number of times the target knowledge point is edited; the corresponding indicators of the knowledge uploading stage include: the uploading time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded; the corresponding indicators of the knowledge review stage include: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed; the corresponding indicators of the knowledge association stage include: the number of knowledge points associated with the target knowledge point; the corresponding indicators of the knowledge retrieval stage include: the time for retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit; the corresponding indicators of the knowledge push stage include: the time for pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed; the corresponding indicators of the knowledge recycling stage include: at least one of the number of times the target knowledge point is recycled;

[0104] A monitoring module 22, used to monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range;

[0105] The second acquisition module 23 is used to obtain the target stage corresponding to the indicator exceeding the preset indicator range, and record the number of times the indicator corresponding to the target stage exceeds the standard;

[0106] A search module 24, configured to search for a target sensitivity level corresponding to the target stage from a preset correspondence relationship between stages and sensitivity levels;

[0107] The execution module 25 is used to execute the preset management plan corresponding to the target stage if the number of exceeding the standard is higher than or equal to the number corresponding to the target sensitivity level. The preset management plan is the management plan for the target knowledge point in the target stage.

[0108] In an optional implementation, if the target stage is the knowledge editing stage or the knowledge uploading stage or the knowledge review stage, the preset management scheme includes: sending the target knowledge point to an electronic device held by a preset high-level operation and maintenance personnel;

[0109] If the target stage is the knowledge association stage, the preset management scheme includes: storing the target knowledge points in a promotion knowledge base, where the knowledge points stored in the promotion knowledge base are knowledge points that need to be popularized by users;

[0110] If the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the time taken to retrieve the target knowledge point, the preset management solution includes: splitting the target knowledge point;

[0111] If the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the number of times the target knowledge point is hit, the preset management scheme includes: storing the target knowledge point in a hot knowledge base, and the number of times the knowledge point stored in the hot knowledge base is pushed to the user is greater than a preset threshold;

[0112] If the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the duration of pushing the target knowledge point, the preset management solution includes: pausing the push of the target knowledge point;

[0113] If the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the number of times the target knowledge point is pushed, the preset management solution includes: storing the target knowledge point in a hot knowledge base;

[0114] If the target stage is the knowledge recycling stage, the preset management solution includes: deleting the target knowledge point.

[0115] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0116] Figure 3 The invention is a block diagram showing a device for a server according to an exemplary embodiment.

[0117] The server includes, but is not limited to, a processor 31 , a memory 32 , a network interface 33 , an I / O controller 34 , and a communication bus 35 .

[0118] It should be noted that those skilled in the art can understand that Figure 3 The server structure shown in the figure does not constitute a limitation on the server, and the server may include Figure 3 More or fewer components may be shown, or certain components may be combined, or the components may be arranged differently.

[0119] Combine the following Figure 3 A detailed introduction to the various components of the server:

[0120] The processor 31 is the control center of the server. It uses various interfaces and lines to connect various parts of the entire server. It executes various functions of the server and processes data by running or executing software programs and / or modules stored in the memory 32, and calling data stored in the memory 32, so as to monitor the server as a whole. The processor 31 may include one or more processing units; illustratively, the processor 31 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 31.

[0121] The processor 31 may be a central processing unit (CPU), or an application specific integrated circuit ASIC (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, etc.;

[0122] The memory 32 may include a memory, such as a high-speed random access memory (RAM) 321 and a read-only memory (ROM) 322, and may also include a large-capacity storage device 323, such as at least one disk storage, etc. Of course, the server may also include hardware required for other services.

[0123] Among them, the above-mentioned memory 32 is used to store the executable instructions of the above-mentioned processor 31. The above-mentioned processor 31 has the following functions: obtaining indicators of each stage of the target knowledge point, and the various stages include: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recovery stage. The knowledge editing stage is the stage of editing the target knowledge point, the knowledge uploading stage refers to the stage of uploading the target knowledge point edited in the knowledge editing stage to the database, the knowledge review stage refers to the stage of accuracy review of the target knowledge point uploaded to the database, the knowledge association stage refers to the stage of calculating the associated knowledge points whose correlation with the target knowledge point that has passed the review is greater than the first threshold, and establishing the association relationship between the associated knowledge points and the target knowledge point, the knowledge retrieval stage refers to the stage of retrieving the target knowledge point based on the query statement input by the user, the knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to the stage of setting the target knowledge point in a state that cannot be accessed by the user; the corresponding indicators of the knowledge editing stage include: the target the editing time of the knowledge point, and at least one of the number of times the target knowledge point is edited; the indicators corresponding to the knowledge upload stage include: the upload time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded; the indicators corresponding to the knowledge review stage include: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed; the indicators corresponding to the knowledge association stage include: the number of knowledge points associated with the target knowledge point; the indicators corresponding to the knowledge retrieval stage include: the time for retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit; the indicators corresponding to the knowledge push stage include: the time for pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed; the indicators corresponding to the knowledge recycling stage include: at least one of the number of times the target knowledge point is recycled;

[0124] Monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range;

[0125] Obtaining a target stage corresponding to an indicator that exceeds a preset indicator range, and recording the number of times the indicator corresponding to the target stage exceeds the target range;

[0126] Finding the target sensitivity level corresponding to the target stage from the preset correspondence between the stage and the sensitivity level;

[0127] If the number of times exceeding the standard is higher than or equal to the number corresponding to the target sensitivity level, the preset management plan corresponding to the target stage is executed, and the preset management plan is a management plan for the target knowledge point under the target stage.

[0128] The processor 31, the memory 32, the network interface 33 and the I / O controller 34 may be interconnected via a communication bus 35, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc.

[0129] In an exemplary embodiment, the server may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the monitoring and management method of the above-mentioned knowledge points.

[0130] In an exemplary embodiment, the present disclosure provides a storage medium including instructions, such as a memory 32 including instructions, and the instructions can be executed by a processor 31 of a server to complete the above method. Optionally, the storage medium can be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0131] In an exemplary embodiment, a computer-readable storage medium is also provided, which can be directly loaded into the internal memory of a computer, such as the above-mentioned memory 32, and contains software code. After being loaded and executed by a computer, the computer program can implement the steps shown in any embodiment of the monitoring and management method of the above-mentioned knowledge points.

[0132] In an exemplary embodiment, a computer program product is also provided, which can be directly loaded into the internal memory of a computer, such as the memory contained in the server, and contains software code. After being loaded and executed by a computer, the computer program can implement the steps shown in any embodiment of the above-mentioned knowledge point monitoring and management method.

[0133] It should be noted that the features described in the various embodiments in this specification can be replaced or combined with each other. For the device or system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0134] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0135] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0136] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for monitoring and managing knowledge points, characterized in that: include: The indicators of each stage of the target knowledge point are obtained, and the stages include: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recovery stage. The knowledge editing stage is the stage of editing the target knowledge point, the knowledge uploading stage refers to the stage of uploading the target knowledge point edited in the knowledge editing stage to the database, the knowledge review stage refers to the stage of accuracy review of the target knowledge point uploaded to the database, the knowledge association stage refers to the stage of calculating the associated knowledge points whose correlation with the target knowledge point that has passed the review is greater than a first threshold, and establishing the association relationship between the associated knowledge points and the target knowledge point, the knowledge retrieval stage refers to the stage of retrieving the target knowledge point based on the query statement input by the user, the knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to setting the target knowledge point to be unusable. The corresponding indicators of the knowledge editing stage include: the editing time of the target knowledge point, and at least one of the number of times the target knowledge point is edited; the corresponding indicators of the knowledge uploading stage include: the uploading time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded; the corresponding indicators of the knowledge review stage include: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed; the corresponding indicators of the knowledge association stage include: the number of knowledge points associated with the target knowledge point; the corresponding indicators of the knowledge retrieval stage include: the time for retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit; the corresponding indicators of the knowledge pushing stage include: the time for pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed; the corresponding indicators of the knowledge recycling stage include: at least one of the number of times the target knowledge point is recycled; Monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range; Obtaining a target stage corresponding to an indicator that exceeds a preset indicator range, and recording the number of times the indicator corresponding to the target stage exceeds the target range; Finding the target sensitivity level corresponding to the target stage from the preset correspondence between the stage and the sensitivity level; If the number of times the standard is exceeded is greater than or equal to the number corresponding to the target sensitivity level, a preset management plan corresponding to the target stage is executed, where the preset management plan is a management plan for the target knowledge point at the target stage; Wherein, if the target stage is the knowledge editing stage or the knowledge uploading stage or the knowledge review stage, the preset management scheme includes: sending the target knowledge point to an electronic device held by a preset high-level operation and maintenance personnel; If the target stage is the knowledge association stage, the preset management scheme includes: storing the target knowledge points in a promotion knowledge base, where the knowledge points stored in the promotion knowledge base are knowledge points that need to be popularized by users; If the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the time taken to retrieve the target knowledge point, the preset management solution includes: splitting the target knowledge point; If the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the number of times the target knowledge point is hit, the preset management scheme includes: storing the target knowledge point in a hot knowledge base, and the number of times the knowledge point stored in the hot knowledge base is pushed to the user is greater than a preset threshold; If the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the duration of pushing the target knowledge point, the preset management solution includes: pausing the push of the target knowledge point; If the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the number of times the target knowledge point is pushed, the preset management solution includes: storing the target knowledge point in a hot knowledge base; If the target stage is the knowledge recycling stage, the preset management solution includes: deleting the target knowledge point.

2. A knowledge point monitoring and management device, characterized in that: include: The first acquisition module is used to obtain indicators of each stage of the target knowledge point, and the various stages include: knowledge editing stage, knowledge uploading stage, knowledge review stage, knowledge association stage, knowledge retrieval stage, knowledge push stage and knowledge recovery stage. The knowledge editing stage is the stage of editing the target knowledge point, the knowledge uploading stage refers to the stage of uploading the target knowledge point edited in the knowledge editing stage to the database, the knowledge review stage refers to the stage of accuracy review of the target knowledge point uploaded to the database, the knowledge association stage refers to the stage of calculating the associated knowledge points whose correlation with the target knowledge point that has passed the review is greater than the first threshold, and establishing the association relationship between the associated knowledge points and the target knowledge point, the knowledge retrieval stage refers to the stage of retrieving the target knowledge point based on the query statement input by the user, the knowledge push stage refers to the stage of pushing the target knowledge point to the user, and the knowledge recovery stage refers to setting the target knowledge point at The indicator corresponding to the knowledge editing stage includes: the editing time of the target knowledge point, and at least one of the number of times the target knowledge point is edited; the indicator corresponding to the knowledge uploading stage includes: the uploading time of the target knowledge point, and at least one of the number of times the target knowledge point is uploaded; the indicator corresponding to the knowledge review stage includes: the review time of the target knowledge point, and at least one of the number of times the target knowledge point is reviewed; the indicator corresponding to the knowledge association stage includes: the number of knowledge points associated with the target knowledge point; the indicator corresponding to the knowledge retrieval stage includes: the time for retrieving the target knowledge point, and at least one of the number of times the target knowledge point is hit; the indicator corresponding to the knowledge push stage includes: the time for pushing the target knowledge point, and at least one of the number of times the target knowledge point is pushed; the indicator corresponding to the knowledge recycling stage includes: at least one of the number of times the target knowledge point is recycled; A monitoring module, used to monitor whether the indicators corresponding to each stage of the target knowledge point exceed the corresponding preset indicator range; A second acquisition module is used to obtain the target stage corresponding to the indicator exceeding the preset indicator range, and record the number of times the indicator corresponding to the target stage exceeds the standard; A search module, used to search for a target sensitivity level corresponding to the target stage from a preset correspondence relationship between stages and sensitivity levels; An execution module, configured to execute a preset management scheme corresponding to the target stage if the number of times of exceeding the standard is higher than or equal to the number corresponding to the target sensitivity level, wherein the preset management scheme is a management scheme for the target knowledge point at the target stage; Wherein, if the target stage is the knowledge editing stage or the knowledge uploading stage or the knowledge review stage, the preset management scheme includes: sending the target knowledge point to an electronic device held by a preset high-level operation and maintenance personnel; If the target stage is the knowledge association stage, the preset management scheme includes: storing the target knowledge points in a promotion knowledge base, where the knowledge points stored in the promotion knowledge base are knowledge points that need to be popularized by users; If the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the time taken to retrieve the target knowledge point, the preset management solution includes: splitting the target knowledge point; If the target stage is the knowledge retrieval stage, and if the indicator corresponding to the knowledge association stage includes the number of times the target knowledge point is hit, the preset management scheme includes: storing the target knowledge point in a hot knowledge base, and the number of times the knowledge point stored in the hot knowledge base is pushed to the user is greater than a preset threshold; If the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the duration of pushing the target knowledge point, the preset management solution includes: pausing the push of the target knowledge point; If the target stage is the knowledge push stage, and if the indicator corresponding to the knowledge push stage includes the number of times the target knowledge point is pushed, the preset management solution includes: storing the target knowledge point in a hot knowledge base; If the target stage is the knowledge recycling stage, the preset management solution includes: deleting the target knowledge point.

3. A server, characterized in that: include: processor; a memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the knowledge point monitoring and management method as claimed in claim 1.

4. A computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a server, enables the server to execute the monitoring and management method of knowledge points as described in claim 1.

5. A computer program product that can be directly loaded into the internal memory of a computer, wherein the internal memory includes the memory contained in the server as claimed in claim 3 and contains software code. After being loaded and executed by the computer, the computer program can implement the monitoring and management method of knowledge points as claimed in claim 1.

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