Automatic supervision service quality management system

Through the user feature labeling, accurate search and aggregation of search functions of the automated supervision system, combined with machine learning algorithms, the problem of insufficient misjudgment and recognition capabilities in the knowledge payment system is solved, the content quality and monitoring accuracy are improved, and manual participation is reduced demand.

CN119313203APending Publication Date: 2025-01-14LIANBANG NETWORK TECH SERVICE NANTONG CO LTD
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Patent Information

Application Number
CN202411330599.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-24
Publication Date
2025-01-14

AI Technical Summary

Technical Problem

While improving efficiency, the existing knowledge payment system automation quality supervision is prone to misjudgment and misjudgment, especially when dealing with complex content and specific domain knowledge, data set deviations lead to weak recognition capabilities and inability to correctly identify professional terms and terminology and Emerging vocabulary leads to systematic misjudgment.

Method used

A service quality management system for automated supervision was designed, including a knowledge payment service module, a device link compatibility processing module and an automated supervision operation module. Through user feature labeling, accurate retrieval, aggregate search and machine learning algorithms, content recognition and supervision are optimized. process, reduce manual participation, and improve system accuracy and efficiency.

Benefits of technology

Display product prices and information through visual links to improve content quality; aggregate search functions improve user service quality; machine learning algorithms reduce manual participation in abnormal detection, improve monitoring and alarm accuracy, and reduce the time for business abnormal discovery and detection.

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Abstract

The invention discloses an automatic supervision service quality management system, which comprises a knowledge payment service module, an equipment link compatible processing module and an automatic supervision operation module, and is characterized in that the knowledge payment service module is used for carrying out interaction service on a service user and a served user in knowledge payment service; the equipment link compatibility processing module is used for the knowledge payment service system to optimize the compatibility of message pushing of different terminals through a link end; and the automatic supervision operation module is used for carrying out automatic supervision on the service quality in the system based on the risk control log file. A machine learning clustering and classification algorithm is utilized, so that the participation of manual supervision in a business exception discovery and detection process is reduced; the method solves the problem of misjudgment of the algorithm when the algorithm processes the content of a specific type due to data deviation, reduces the data set deviation, and optimizes the recognition capability of the complex content.
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Description

Technical Field

[0001] The present invention relates to the technical field of service quality management, and in particular to an automated supervision service quality management system. Background Art

[0002] The automated quality supervision of the knowledge payment system aims to achieve a rapid and accurate assessment of content quality through technical means. At the same time, there are many types of knowledge payment content, involving various disciplines and professional knowledge. The automated supervision system needs to have efficient content recognition and classification capabilities to accurately judge the theme, type and quality of the content to ensure that users obtain high-quality knowledge services. However, while the automated quality supervision in the existing knowledge payment system improves efficiency, it also faces misjudgments and missed judgments. Misjudgment means that the automated supervision system mistakenly judges compliant content as illegal content, or judges illegal content as compliant content. The existing knowledge payment automated supervision system relies on algorithms for content recognition and quality assessment. However, when some professional terms, slang or emerging words may not be in the algorithm's vocabulary, the system cannot correctly identify their meanings, resulting in misjudgments. At the same time, the data samples of the existing training algorithms cannot fully represent the actual content and there will be deviations. This deviation will cause the algorithm to make misjudgments when processing certain specific types of content. That is, when the data set lacks professional knowledge in certain fields, the knowledge payment system's recognition ability in this field is weak. Therefore, it is necessary to design an automated supervision service quality management system that reduces the deviation of the data set and optimizes the recognition ability and accuracy of complex content. Summary of the invention

[0003] The purpose of the present invention is to provide a service quality management system for automated supervision to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an automated supervision service quality management system, comprising a knowledge payment service module, a device link compatibility processing module and an automated supervision operation module, wherein the knowledge payment service module is used to provide interactive services to service users and served users in the knowledge payment service; the device link compatibility processing module is used for the knowledge payment service system to optimize the compatibility of message pushes from different terminals through the link end; the automated supervision operation module is used to perform automated supervision of service quality in the system based on risk control log files.

[0005] According to the above technical solution, the knowledge payment service module includes: a service terminal establishment module, a service provider introduction module, a user feature labeling module and a precise retrieval module. The service terminal establishment module is used to establish a service end for knowledge payment service quality management; the service provider introduction module is used to introduce corresponding product engineers into the system to become knowledge payment service providers; the user feature labeling module is used to build a user feature model in the server end by utilizing user portrait technology; the precise retrieval module is used to perform precise retrieval through keywords for users who need corresponding knowledge payment services.

[0006] According to the above technical solution, the device link compatibility processing module includes: a link terminal establishment module, a visualization link module, a device interface compatibility processing module and a search function module, characterized in that: the link terminal establishment module is used to establish a link end for knowledge payment service quality management; the visualization link module is used to establish a visualization link for knowledge payment price; the device interface compatibility processing module is used to perform interface compatibility processing based on the running devices of each terminal in the system; the search function module is used to use the search functions of aggregate search, classified paging search, and knowledge field exploration.

[0007] According to the above technical solution, the automated supervision operation module includes: a supervision terminal establishment module, a risk control log file module, an automated monitoring and analysis module, and a manual monitoring trigger module. The supervision terminal establishment module is used to establish a supervision terminal for knowledge payment service quality management; the risk control log file module is used to parse and process online log files, and to collect and statistically analyze logs distributed on various nodes in the cluster; the automated monitoring and analysis module is used to automatically monitor and analyze the statistical items of the monitoring items according to the configured calculation rules; the manual monitoring trigger module is used to trigger manual supervision when it is impossible to set a threshold warning.

[0008] A method for managing service quality of automated supervision, the method comprising the following steps:

[0009] Step 1: Establish a service end for knowledge payment service quality management;

[0010] Step 2: Establish a link for knowledge payment service quality management;

[0011] Step 3: Establish a supervisory end for the quality management of knowledge payment services;

[0012] Step 4: Perform interface compatibility processing based on the operating devices of each terminal in the system;

[0013] Step 5: Based on the risk control log files of the knowledge payment service quality management system, automatically monitor the service quality in the system.

[0014] According to the above technical solution, the working method steps of the server for the interaction between the service user and the served user in the knowledge payment service include:

[0015] For service providers and providers of paid knowledge products, the server uses user profiling technology to build a user feature model;

[0016] Label user characteristics based on their personal attributes, social attributes, consumption behaviors, usage scenarios, usage goals, usage behaviors, and problems encountered during use;

[0017] Accurately classify users' service needs based on user portraits, clearly understand users' dynamics and knowledge payment service needs, and accurately push users' relevant service needs to service providers who provide the service and providers who upload the service product content;

[0018] Users who need corresponding knowledge payment services can conduct accurate searches using keywords.

[0019] According to the above technical solution, the link end optimizes the compatibility of message pushes of different terminals through the link end, including:

[0020] The link end of the system sets up a visual link for knowledge payment price, and the demand users on the knowledge demander end express their wishes to the knowledge provider;

[0021] The providers of paid knowledge products have the right to set their own prices. The knowledge providers will give a quotation based on the content they can provide, and the knowledge demanders will consider whether the quotation is within an acceptable range until both parties reach a consensus.

[0022] The link end sets a price threshold based on the amount of product content uploaded by the knowledge payment product provider and service provider, the popularity of the content, the originality of the content, the influence of the knowledge payment provider in the field, and the number of articles published by the author;

[0023] Establish relevant pricing reference standards and review the rationality of their pricing. Once the review is qualified, the product price, product content, and provider and service provider information will be visualized on the visualization link. Users and service providers who need corresponding knowledge payment services, as well as providers of knowledge payment products, can all see it in real time.

[0024] According to the above technical solution, the platform manager based on the knowledge payment service in the system performs real-time dynamic and data supervision methods and steps on the knowledge payment service technical solution uploaded by the knowledge payment service author and the author, including:

[0025] Step 31: The supervision end mainly supervises and manages the quality of knowledge payment services, processes the information of service providers participating in the bidding, joins business supervision to supervise the business occurring in the service market, and realizes the simultaneous implementation of automated supervision and manual supervision;

[0026] Step 32: Improve the instant messaging interface between terminals in the system, optimize the efficiency of instant messaging, support multiple instant messaging content, customize the dispatch processing flow according to the number of service demanders in the knowledge payment service, add service construction process and construction standards, add service order and IT skills association, and obtain the technical solutions of the relevant knowledge payment service in the current dispatch service in real time;

[0027] Step 33: Add automated service management, define automated processing standards, and the system automatically processes service orders. Add AI service work order review, and the system automatically determines whether the work order and photo content after the service is completed meet the requirements. Optimize service fee management according to the needs of different businesses, define service fee details and fee acquisition standards, optimize existing data query efficiency, and archive historical data.

[0028] According to the above technical solution, the interface compatibility processing step based on the operating devices of each terminal of the system includes:

[0029] According to demand analysis, users who need paid knowledge services can use a variety of devices to import paid knowledge product data and social information data, and synchronize change data by using the search functions of aggregate search, classified and paged search, and knowledge field exploration, and through the interface and control interface provided by the server that is configured with search algorithms, knowledge field tags, search hot words, and hot columns;

[0030] The user enters the search keyword, and the server selects the top N product contents that best meet the requirements under each knowledge product type based on the keyword hit rules and the user's personalized preferences. The server extracts the valuable parts of the title, paragraph, author and other information containing the keyword and highlights them. By adjusting the display order of each knowledge product type, the knowledge product types with higher relevance are displayed in the front. Finally, the hit results are aggregated and displayed to the user.

[0031] According to the above technical solution, the risk control log file based on the knowledge payment service quality management system performs automated supervision steps on the service quality in the system, including:

[0032] Risk control log supervision captures data, stores data, interacts with the front end, detects anomalies, and warns about anomalies at each terminal in the knowledge payment service system. By parsing and processing online log files, the logs distributed at each node in the cluster are aggregated and statistically analyzed. According to the configured collection rules, the terminal logs under the designated port of the distributed cluster are collected to the incremental buffer cluster. According to the configured calculation rules, the statistical items of the monitoring items are automatically monitored and analyzed. After anomalies are discovered based on clustering, the multi-classification model is trained through the historical data of the monitoring items. After evaluation and comparison, the optimal classification model is selected to support the log file business monitoring item alarm service of the knowledge payment system and write it into distributed storage. The monitoring items are detected and alarmed using the pre-set classification model.

[0033] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0034] 1. By setting up a visual link for knowledge payment prices at the link end of the system, the product prices, product content, and information of providers and service providers after passing the review are visualized on the visual link. Users and service providers who need corresponding knowledge payment services and providers of knowledge payment products can all see it in real time, thereby improving the content quality of the system;

[0035] 2. According to demand analysis, users who need paid knowledge services can use a variety of devices to use the search functions of aggregate search, classified and paged search, and knowledge field exploration, and through the interface and control interface provided by the server that is configured with search algorithms, knowledge field tags, search hot words and hot columns, complete the import of paid knowledge product data and social information data, change data synchronization, and improve the service quality for users in the system;

[0036] 3. Obtain log statistics of monitored items from the analysis and processing results of online logs and store them in the log supervision database. In the anomaly discovery and detection of log supervision, use machine learning clustering and classification algorithms to reduce the participation of manual supervision in the process of business anomaly discovery and detection, and improve the accuracy of system automated monitoring alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0038] Figure 1 A flowchart of a service quality management method for automated supervision provided in Embodiment 1 of the present invention;

[0039] Figure 2 A schematic diagram of the module composition of a service quality management system for automated supervision provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1: Figure 1 This is a flow chart of a service quality management method for automated supervision provided in Example 1 of the present invention. This embodiment can be applied to the scenario of knowledge payment service quality management. This method can be executed by a service quality management system for automated supervision provided in this embodiment, such as Figure 1 As shown, the method specifically comprises the following steps:

[0042] Step 1: Establish a service end for knowledge payment service quality management;

[0043] In the embodiment of the present invention, the service end is an information terminal for interaction between the service user and the served user in the knowledge payment service, and the main working method steps include:

[0044] Step 11: Introduce corresponding product engineers to become knowledge payment service providers according to the product fields and requirements of knowledge payment services. Service providers have the function of granting corresponding titles to knowledge payment service authors whose knowledge payment product content has met the service standard requirements;

[0045] Step 12: Build a platform for the proposal authors of knowledge payment services to upload technical proposals and build standardized service content, covering technology, costs, and construction standards;

[0046] Step 13: Publish the personal information of the knowledge payment service author and manage his / her information. Users who need knowledge payment services and need to interact with him / her register their user accounts through the customer center and publish service requirements to the service market. The system defines each customer's own service requirements by using the set service standards;

[0047] Exemplarily, for service providers and providers of paid knowledge products, the server side builds a user feature model by using user portrait technology, labels user features according to the user's personal attributes, social attributes, consumption behavior, usage scenarios, usage goals, usage behavior, and problems encountered during use, and accurately classifies the user's service needs based on the user portrait, clearly understands the user's dynamics and paid knowledge service needs, and accurately pushes the user's relevant service needs to the service provider who provides the service and the provider who uploads the service product content, and users who need the corresponding paid knowledge service can perform accurate searches through keywords.

[0048] Step 2: Establish a link for knowledge payment service quality management;

[0049] In the embodiment of the present invention, the link end is a knowledge payment service system that optimizes the compatibility of message pushes on different terminals through the link end. The main working method steps include:

[0050] Step 21: The system obtains data content related to the knowledge payment service through the link end, and establishes a communication channel between the knowledge payment service demanders and authors;

[0051] Step 22: Associating the content of the knowledge payment service plan with the knowledge payment product information and related skills;

[0052] Step 23: Establish basic knowledge payment data statistical analysis to analyze the attention paid to the design of relevant knowledge payment plans and the demand for the plans;

[0053] Step 24: Establish an online communication channel between customers and service providers. After viewing customer needs in the service market, service providers can bid for the needs. Customers' current needs and service providers' bidding status can be viewed through the customer center.

[0054] Exemplarily, the link end of the system establishes a visualization link for the price of knowledge payment. The demanding users on the knowledge demander end express their wishes to the knowledge providers. The providers of knowledge payment products have the right to set their own prices. The knowledge providers give quotations based on the content that can be provided, and the knowledge demanders consider whether the quotation is within an acceptable range until the two parties reach an agreement. The specific link end sets a threshold for the price based on the amount of product content uploaded by the knowledge payment product providers and service providers, the popularity of the content, the originality of the content, the influence of the knowledge payment providers in the field, and the number of articles published by the authors, formulates relevant pricing reference standards, and reviews the rationality of its pricing. When the review is qualified, the product price, product content, and provider and service provider information are visualized on the visualization link, and users and service providers who need corresponding knowledge payment services and providers of knowledge payment products can see it in real time.

[0055] Step 3: Establish a supervisory end for the quality management of knowledge payment services;

[0056] In the embodiment of the present invention, the supervision end is a platform manager based on the knowledge payment service in the system, and performs real-time dynamic and data supervision on the knowledge payment service technical solution uploaded by the knowledge payment service author and the author. The main method steps include:

[0057] Step 31: The supervision end mainly supervises and manages the quality of knowledge payment services, processes the information of service providers participating in the bidding, joins business supervision to supervise the business occurring in the service market, and realizes the simultaneous implementation of automated supervision and manual supervision;

[0058] Step 32: Improve the instant messaging interface between terminals in the system, optimize the efficiency of instant messaging, support multiple instant messaging content, customize the dispatch processing flow according to the number of service demanders in the knowledge payment service, add service construction process and construction standards, add service order and IT skills association, and obtain the technical solutions of the relevant knowledge payment service in the current dispatch service in real time;

[0059] Step 33: Added automated service management, defined automated processing standards, the system automatically processed service dispatches, added AI service work order review, the system automatically determined whether the work order and photo content after the service was completed met the requirements, optimized service fee management according to the needs of different businesses, defined service fee details and fee acquisition standards, optimized existing data query efficiency, and archived historical data;

[0060] Exemplarily, the triggering steps for the supervisory end to conduct automated and manual supervision of the quality of knowledge payment services are as follows: after the user publishes the corresponding knowledge payment service demand, the supervisory end is triggered to automatically verify the relevant data content of the system. After the verification is correct, the required items are checked for the content of the uploaded information form to determine whether it meets the system requirements. If not, the system will prompt the user of the error type. Log supervision realizes early warning by configuring thresholds. However, when there are problems with the knowledge payment system itself or problems with the request parameters of the upstream business request system, they cannot be discovered by setting thresholds. At this time, manual supervision is triggered, and the manual supervision end uses clustering to discover anomalies from multidimensional data for supervision and judgment.

[0061] Step 4: Perform interface compatibility processing based on the operating devices of each terminal in the system;

[0062] In the embodiment of the present invention, according to demand analysis, users who need knowledge payment services can use a variety of devices, and through the search functions of aggregate search, classified paged search, and knowledge field exploration, through the interface and control interface configured with search algorithms, knowledge field tags, search hot words and hot columns provided by the server, complete the import of knowledge payment product data and social information data, and change the synchronization of data;

[0063] For example, the user inputs a search keyword, and the server selects the top N product contents that best meet the requirements under each knowledge product type based on the keyword hit rules and the user's personalized preferences. The server extracts the valuable parts of the title, paragraph, author and other information containing the keyword, highlights them, and adjusts the display order of each knowledge product type so that the knowledge product type with higher relevance is displayed in the front. Finally, the hit results are aggregated and displayed to the user.

[0064] Exemplarily, the service requires users to view hot search words and hot columns on the homepage of the search interface. While users enter search keywords, they can view recommended paid knowledge products associated with the word. After users confirm the search keyword and search, they can view the aggregated display of the most consistent keyword data under each product type. Users select the required paid product type and can view more products that match the keywords and browse in paginated form. Users can also select knowledge fields. The server analyzes the paid knowledge product data in the field through data analysis. The system server controls the search interface to complete the batch import of product data and user social information data, and completes the synchronization of changing product data by using the search function, and controls keyword hit rules and display effects.

[0065] Step 5: Based on the risk control log files of the knowledge payment service quality management system, automatically monitor the service quality in the system.

[0066] In the embodiment of the present invention, the risk control log supervision mainly includes data capture, data storage, front-end interaction, anomaly detection and anomaly warning for each terminal in the knowledge payment service system, wherein the risk control system server cluster is a distributed cluster, and therefore the logs of the knowledge payment service system are distributed on each server node of the cluster, and the log information on each node is independently stored locally. By parsing and processing the online log files, the logs distributed on each node of the cluster are aggregated and statistically analyzed, and the terminal logs under the designated port of the distributed cluster are collected to the incremental buffer cluster according to the configured collection rules. According to the configured calculation rules, the statistical items of the monitoring items are automatically monitored and analyzed, and the monitoring items are detected and alarmed by the pre-set classification model. After the anomaly is found based on clustering, the multi-classification model is trained through the historical data of the monitoring items. After evaluation and comparison, the optimal classification model is selected to support the log file business monitoring item alarm service of the knowledge payment system and written into the distributed storage;

[0067] Exemplarily, users configure business monitoring items, view basic business data change trends, and configure basic alarms through front-end interaction. Business alarms receive user configurations and view the status of monitoring items and related information of exceptions. The system's automated supervision end obtains log statistics of monitoring items from the parsing results of online logs based on the user-configured business monitoring item list, and stores them in the log supervision database. In the anomaly discovery and detection of log supervision, machine learning clustering and classification algorithms are used to reduce the participation of manual supervision in the process of business anomaly discovery and detection, thereby improving the accuracy of monitoring alarms.

[0068] Embodiment 2: Embodiment 2 of the present invention provides a service quality management system for automated supervision. Figure 2 A schematic diagram of the module composition of a service quality management system for automated supervision provided in Embodiment 2 of the present invention is shown in FIG. Figure 2 As shown, the system includes:

[0069] The knowledge payment service module is used to provide interactive services to service users and served users in the knowledge payment service;

[0070] The device link compatibility processing module is used by the knowledge payment service system to optimize the compatibility of message push on different terminals through the link end;

[0071] The automated supervision operation module is used to automatically monitor the service quality in the system based on risk control log files.

[0072] In some embodiments of the present invention, the knowledge payment service module includes:

[0073] A service terminal establishment module is used to establish a service terminal for knowledge payment service quality management;

[0074] The service provider introduction module is used to introduce corresponding product engineers into the system to become knowledge-paying service providers;

[0075] User feature labeling module, used to build user feature models on the server side by using user profiling technology;

[0076] The precise search module is used for users who need corresponding knowledge payment services to conduct precise searches through keywords.

[0077] In some embodiments of the present invention, the device link compatibility processing module includes:

[0078] A link terminal establishment module is used to establish a link terminal for knowledge payment service quality management;

[0079] Visualization link module, used to set up visualization links for knowledge payment prices;

[0080] The device interface compatibility processing module is used to perform interface compatibility processing based on the running devices of each terminal of the system;

[0081] The search function module is used to use the search functions of aggregate search, classified paged search, and knowledge field exploration.

[0082] In some embodiments of the present invention, the automated supervision operation module includes:

[0083] A supervision terminal establishment module is used to establish a supervision terminal for knowledge payment service quality management;

[0084] The risk control log file module is used to parse and process online log files, collect and perform statistical analysis on logs distributed on each node in the cluster;

[0085] The automated monitoring and analysis module is used to automatically monitor and analyze the statistical items of the monitored items according to the configured calculation rules;

[0086] The manual monitoring trigger module is used to trigger manual supervision when the threshold warning cannot be set.

[0087] It should 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.

[0088] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An automated supervision service quality management system, comprising a knowledge payment service module, a device link compatibility processing module and an automated supervision operation module, characterized in that: The knowledge payment service module is used to provide interactive services to service users and served users in the knowledge payment service; the device link compatibility processing module is used for the knowledge payment service system to optimize the compatibility of message push from different terminals through the link end; the automated supervision operation module is used to automatically supervise the service quality in the system based on the risk control log file.

2. The service quality management system for automated supervision according to claim 1, characterized in that: The knowledge payment service module includes: a service terminal establishment module, a service provider introduction module, a user feature labeling module and a precise search module. The service terminal establishment module is used to establish a service end for knowledge payment service quality management; the service provider introduction module is used to introduce corresponding product engineers into the system to become knowledge payment service providers; the user feature labeling module is used to build a user feature model in the server by using user portrait technology; the precise search module is used to perform precise searches through keywords for users who need corresponding knowledge payment services.

3. The service quality management system for automated supervision according to claim 2 is characterized by: The device link compatibility processing module includes: a link terminal establishment module, a visualization link module, a device interface compatibility processing module and a search function module, and is characterized in that: the link terminal establishment module is used to establish a link end for knowledge payment service quality management; the visualization link module is used to establish a visualization link for knowledge payment prices; the device interface compatibility processing module is used to perform interface compatibility processing based on the running devices of each terminal in the system; the search function module is used to use search functions such as aggregate search, classified paging search, and knowledge field exploration.

4. The service quality management system for automated supervision according to claim 3 is characterized by: The automated supervision operation module includes: a supervision terminal establishment module, a risk control log file module, an automated monitoring and analysis module, and a manual monitoring trigger module. The supervision terminal establishment module is used to establish a supervision terminal for knowledge payment service quality management; the risk control log file module is used to parse and process online log files, and to collect and perform statistical analysis on logs distributed on various nodes in the cluster; the automated monitoring and analysis module is used to perform automated monitoring and analysis on statistical items of monitoring items according to configured calculation rules; the manual monitoring trigger module is used to trigger manual supervision when it is impossible to set a threshold warning.

5. A service quality management method for automated supervision, characterized in that: The method comprises the following steps: Step 1: Establish a service end for knowledge payment service quality management; Step 2: Establish a link for knowledge payment service quality management; Step 3: Establish a supervisory end for the quality management of knowledge payment services; Step 4: Perform interface compatibility processing based on the operating devices of each terminal in the system; Step 5: Based on the risk control log files of the knowledge payment service quality management system, automatically monitor the service quality in the system.

6. The service quality management method of automated supervision according to claim 5, characterized in that: The working method steps of the server for interaction between the service user and the served user in the knowledge payment service include: For service providers and providers of paid knowledge products, the server uses user profiling technology to build a user feature model; Label user characteristics based on their personal attributes, social attributes, consumption behaviors, usage scenarios, usage goals, usage behaviors, and problems encountered during use; Accurately classify users' service needs based on user portraits, clearly understand users' dynamics and knowledge payment service needs, and accurately push users' relevant service needs to service providers who provide the service and providers who upload the service product content; Users who need corresponding knowledge payment services can conduct accurate searches using keywords.

7. The service quality management method of automated supervision according to claim 6 is characterized by: The link end optimizes the compatibility of message pushes of different terminals through the link end, including: The link end of the system sets up a visual link for knowledge payment price, and the demand users on the knowledge demander end express their wishes to the knowledge provider; The providers of paid knowledge products have the right to set their own prices. The knowledge providers will give a quotation based on the content they can provide, and the knowledge demanders will consider whether the quotation is within an acceptable range until both parties reach a consensus. The link end sets a price threshold based on the amount of product content uploaded by the knowledge payment product provider and service provider, the popularity of the content, the originality of the content, the influence of the knowledge payment provider in the field, and the number of articles published by the author; Establish relevant pricing reference standards and review the rationality of their pricing. Once the review is qualified, the product price, product content, and provider and service provider information will be visualized on the visualization link. Users and service providers who need corresponding knowledge payment services, as well as providers of knowledge payment products, can all see it in real time.

8. The service quality management method of automated supervision according to claim 7 is characterized by: The platform manager of the knowledge payment service in the system performs real-time dynamic and data supervision on the knowledge payment service technical solution uploaded by the knowledge payment service author and the author, including: Step 31: The supervision end mainly supervises and manages the quality of knowledge payment services, processes the information of service providers participating in the bidding, joins business supervision to supervise the business occurring in the service market, and realizes the simultaneous implementation of automated supervision and manual supervision; Step 32: Improve the instant messaging interface between terminals in the system, optimize the efficiency of instant messaging, support multiple instant messaging content, customize the dispatch processing flow according to the number of service demanders in the knowledge payment service, add service construction process and construction standards, add service order and IT skills association, and obtain the technical solutions of the relevant knowledge payment service in the current dispatch service in real time; Step 33: Add automated service management, define automated processing standards, and the system automatically processes service orders. Add AI service work order review, and the system automatically determines whether the work order and photo content after the service is completed meet the requirements. Optimize service fee management according to the needs of different businesses, define service fee details and fee acquisition standards, optimize existing data query efficiency, and archive historical data.

9. The service quality management method of automated supervision according to claim 8, characterized in that: The step of performing interface compatibility processing based on the operating devices of each terminal of the system includes: According to demand analysis, users who need paid knowledge services can use a variety of devices to import paid knowledge product data and social information data, and synchronize change data by using the search functions of aggregate search, classified and paged search, and knowledge field exploration, and through the interface and control interface provided by the server that is configured with search algorithms, knowledge field tags, search hot words, and hot columns; The user enters the search keyword, and the server selects the top N product contents that best meet the requirements under each knowledge product type based on the keyword hit rules and the user's personalized preferences. The server extracts the valuable parts of the title, paragraph, author and other information containing the keyword and highlights them. By adjusting the display order of each knowledge product type, the knowledge product types with higher relevance are displayed in the front. Finally, the hit results are aggregated and displayed to the user.

10. The service quality management method of automated supervision according to claim 9, characterized in that: The risk control log file based on the knowledge payment service quality management system performs automated supervision steps on the service quality in the system, including: Risk control log supervision captures data, stores data, interacts with the front end, detects anomalies, and warns about anomalies at each terminal in the knowledge payment service system. By parsing and processing online log files, the logs distributed at each node in the cluster are aggregated and statistically analyzed. According to the configured collection rules, the terminal logs under the designated port of the distributed cluster are collected to the incremental buffer cluster. According to the configured calculation rules, the statistical items of the monitoring items are automatically monitored and analyzed. After anomalies are discovered based on clustering, the multi-classification model is trained through the historical data of the monitoring items. After evaluation and comparison, the optimal classification model is selected to support the log file business monitoring item alarm service of the knowledge payment system and write it into distributed storage. The monitoring items are detected and alarmed using the pre-set classification model.