Intelligent operation method for episode platform

Abstract

The invention discloses a short play platform intelligent operation method, which belongs to the technical field of internet application and platform operation, and comprises the following steps: 1) a main console is used as a core hub of the whole short play platform operation and is responsible for monitoring and scheduling the whole operation of the platform; 2) establishing a system state real-time monitoring mechanism, and carrying out omnibearing monitoring on hardware resources and software operation conditions of the server; 3) constructing an agent information management system, and comprehensively recording and managing basic information, qualification authentication, cooperation history, promotion performance and the like of the agents; according to the invention, through intelligent task allocation and automatic processing flow, the operation efficiency of the short play platform is significantly improved, manual intervention and errors are reduced, and the operation cost is reduced; the personalized recommendation and user service based on big data analysis and a machine learning algorithm can better meet the personalized demands of the user, improve the satisfaction and loyalty of the user, and promote user growth and business development.

Description

Technical Field

[0001] The present invention belongs to the technical field of Internet application and platform operation, and in particular relates to an intelligent operation method for a short drama platform. Background Art

[0002] Short dramas have rapidly emerged as a new form of content. However, the operation of short drama platforms currently faces many challenges. In terms of management, various links such as console operation, system maintenance, agency cooperation, short drama resource management, order processing, user service, recharge package planning, short drama backend operation, and data statistical analysis mostly rely on traditional manual operations and simple data analysis methods, resulting in low operational efficiency and unreasonable resource allocation. In terms of user experience, there is a lack of accurate personalized recommendations and efficient service responses, making it difficult to meet the increasingly diverse needs of users. Summary of the invention

[0003] The purpose of the present invention is to propose an intelligent operation method for a short drama platform in order to solve the above-mentioned problems.

[0004] In order to achieve the above object, the present invention adopts the following method: a short drama platform intelligent operation method, which comprises the following steps:

[0005] 1) The main console is the core hub of the entire short drama platform operation and is responsible for monitoring and scheduling the overall operation of the platform;

[0006] 2) Establish a real-time system status monitoring mechanism to conduct all-round monitoring of the server's hardware resources and software operation;

[0007] 3) Build an agent information management system to comprehensively record and manage the agent's basic information, qualification certification, cooperation history, promotion performance, etc.;

[0008] 4) Use artificial intelligence technology to conduct intelligent review of the content of the short plays, and automatically detect whether there is any illegal content in the short plays through technical means such as image recognition, voice recognition, and text analysis;

[0009] 5) Automated order processing. After a user places an order, the system automatically verifies user information, payment status, and inventory of skits;

[0010] 6) Collect users’ basic information, behavior data, feedback, etc. through multiple channels to build a comprehensive user portrait;

[0011] 7) Based on the consumption behavior and value analysis of users, we use intelligent algorithms to design diversified recharge packages to meet the needs of different user groups;

[0012] 8) Real-time monitoring of the performance of the skit backend, including page loading speed, response time, crash rate and other indicators;

[0013] 9) Establish a unified data collection and processing platform to automatically collect and integrate data from various business links of the platform, including user data, short drama data, order data, recharge data, etc., use data mining and analysis technology to conduct in-depth analysis of the collected data, and generate various intelligent data reports, such as daily operations reports, monthly reports, quarterly reports, as well as user behavior analysis reports, short drama market trend reports, etc.

[0014] As a further description of the above technical solution:

[0015] In the step 1), an intelligent task allocation algorithm is used to automatically allocate various operational tasks, such as short play review and system update deployment, to the most suitable personnel based on the staff's skill level, workload and task priority. The key operational data of the platform, such as short play playback volume, user activity, order transaction volume, etc., are collected and displayed in real time, and presented to managers in an intuitive visual interface to assist them in making quick decisions.

[0016] As a further description of the above technical solution:

[0017] In the step 2), an intelligent resource management algorithm is used to automatically adjust server resource allocation according to monitoring data to ensure that the system can maintain stable operation under high concurrency conditions. Intelligent security protection technology is used to detect and prevent security threats such as network attacks and data leakage in real time. Network traffic and user behavior are analyzed through machine learning algorithms to identify abnormal behavior patterns, and blocking, isolation and other security measures are taken in a timely manner. The system is regularly optimized intelligently, including database index optimization, code performance tuning, and system configuration adjustment.

[0018] As a further description of the above technical solution:

[0019] In step 3), the intelligent evaluation model is used to comprehensively consider multi-dimensional data such as the agent's promotion channels, promotion effects, user feedback, etc., and regularly conduct performance evaluations on agents. According to the evaluation results, the cooperation strategy with the agent is automatically adjusted, such as the profit sharing ratio, promotion resource allocation, cooperation period, etc., to provide agents with intelligent promotion tools and data analysis platforms to help agents better understand market demand and user preferences and formulate personalized promotion plans.

[0020] As a further description of the above technical solution:

[0021] In the step 4), a short drama content label system is established, and detailed labels are generated for each short drama based on the subject matter, plot, actors and other information of the short drama. Based on the user's viewing history, collection preferences, search history and other data, a deep learning algorithm is used to build a personalized recommendation model to accurately recommend short dramas that suit the user's interests. The popularity data of the short drama, including the number of views, likes, comments, and reposts, is monitored in real time. The recommended position and display weight of the short drama on the platform are automatically adjusted according to the changes in popularity, thereby increasing the exposure of popular short dramas.

[0022] As a further description of the above technical solution:

[0023] In the step 5), the order data is analyzed in real time, and potential patterns and trends in the orders are discovered through data mining technology, such as user purchase time distribution, popular short drama package combinations, etc. According to the order analysis results, the inventory management strategy is optimized, the sales demand of the short dramas is predicted in advance, and the inventory quantity of the short dramas is reasonably adjusted.

[0024] As a further description of the above technical solution:

[0025] In the step 6), an intelligent customer service system is established, and natural language processing technology is used to implement automatic question-and-answer functions, respond to user inquiries and complaints in real time, and automatically transfer complex questions to manual customer service, and provide relevant user background information to improve customer service processing efficiency and service quality. Through user behavior analysis, the risk of user churn is identified, and personalized retention strategies are formulated for users with high churn risks, such as pushing exclusive discounts and recommending personalized short dramas.

[0026] As a further description of the above technical solution:

[0027] In the step 7), the sales data of the recharge packages are monitored in real time, and indicators such as the purchase conversion rate and user satisfaction of different packages are analyzed. According to the data analysis results, the price, content and promotion strategy of the recharge packages are automatically adjusted.

[0028] As a further description of the above technical solution:

[0029] In the step 8), an intelligent optimization algorithm is used to automatically adjust the code structure, resource loading strategy and server configuration of the short drama background according to the monitoring data, so as to improve the operation performance and stability of the platform. By analyzing the user's behavior path, residence time, operation habits and other data, the platform's interface design and functional layout are optimized to improve the user's operation convenience and usage experience. By utilizing the social communication characteristics of user login, intelligent sharing and invitation functions are developed to encourage users to share short dramas with friends, and provide users with corresponding reward mechanisms.

[0030] As a further description of the above technical solution:

[0031] In step 9), the report adopts a visual design to display data in the form of intuitive charts, graphs and tables, so as to help managers quickly understand the operating status and development trends of the platform, and predict key operating indicators based on historical data and machine learning algorithms, such as user growth trends, short drama playback volume forecasts, order volume forecasts, etc., to provide a scientific basis for operational decisions.

[0032] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0033] 1. In the present invention, through intelligent task allocation and automated processing flow, the operational efficiency of the short drama platform is significantly improved, human intervention and errors are reduced, and operating costs are reduced.

[0034] 2. In the present invention, through personalized recommendations and user services based on big data analysis and machine learning algorithms, it is possible to better meet the personalized needs of users, improve user satisfaction and loyalty, and promote user growth and business development.

[0035] 3. In the present invention, the stable operation and data security of the platform are guaranteed through intelligent system maintenance and security protection mechanisms, reducing system failures and security risks.

[0036] 4. In this invention, accurate data analysis and prediction functions provide a scientific basis for operational decision-making, helping platform managers to formulate more reasonable operational strategies, optimize resource allocation, and enhance the market competitiveness of the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 The present invention is a flow chart of an intelligent operation method for a short drama platform. DETAILED DESCRIPTION

[0038] 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.

[0039] Example:

[0040] S01: Implementation of intelligent scheduling on the console: Develop a management system based on the console, use technology to realize a visual interface, use the task scheduling algorithm library to realize the intelligent task allocation function, automatically assign tasks to appropriate personnel based on the staff's skill tags, workload monitoring data, and task priority profiles, obtain the operating data of each module of the platform in real time through the data interface, use visualization tools to display data, set early warning rules and notification mechanisms, and send alarms to relevant personnel through SMS, emails, or system messages when key indicators exceed the threshold;

[0041] S02: Implementation of system intelligent maintenance: deploy system monitoring software on the server side, collect server hardware and software operation data in real time, use intelligent resource management algorithms to dynamically adjust server resource allocation based on monitoring data, use intrusion detection systems and firewall technology to detect and prevent network attacks in real time, regularly run automated system optimization scripts, perform operations such as database index reconstruction and defragmentation, and perform performance analysis and optimization on the code;

[0042] S03: Implementation of intelligent cooperation with agents: Establish an agent relationship management database to store relevant information of agents, develop an agent performance evaluation model, use a combination of hierarchical analysis method and fuzzy comprehensive evaluation method to conduct a comprehensive evaluation of multiple dimensional indicators of agents, and automatically adjust the cooperation parameters of agents through database operations based on the evaluation results, provide agents with Web-based promotion tools and data analysis platforms, use data visualization technology to display market data and user analysis reports, and establish an instant messaging system to achieve real-time communication with agents;

[0043] S04: Implementation of intelligent management of short plays: Develop a short play content review model using a deep learning framework, train with a large amount of annotated data to automatically identify illegal content, establish a short play content label database, use natural language processing technology to extract short play label information, build a personalized recommendation model based on user behavior data using deep learning algorithms, continuously optimize recommendation results through online learning, use data caching and real-time computing technology to monitor short play popularity data in real time, and update recommendation positions and display weights;

[0044] S05: Implementation of intelligent order processing: Develop an order management system, adopt a framework to realize the automated order processing process, use data analysis tools to analyze order data in real time, establish an order prediction model to predict sales demand, set up abnormal order detection rules, and implement early warning notifications through database triggers and message queues;

[0045] S06: Implementation of intelligent user services: Collect various types of user data on the platform through data collection interfaces, use big data processing technology to build user portraits, develop intelligent customer service systems, use natural language processing technology to implement automatic question-and-answer functions, use machine learning algorithms to classify and answer user questions, identify user churn risks through user behavior analysis models, and formulate personalized retention strategies;

[0046] S07: Implementation of intelligent planning of recharge packages: Based on user consumption behavior data, cluster analysis algorithms are used to classify users, and personalized recharge packages are designed for different user groups. The data analysis platform is used to monitor package sales data in real time, and algorithms such as linear regression are used to analyze the relationship between package sales and various factors, automatically adjust package strategies, collect user opinions through the user feedback system, and continuously optimize package design;

[0047] S08: Implementation of intelligent operation of short drama backstage: Integrate performance monitoring SDK in the short drama backstage, collect performance data of the short drama backstage in real time and upload it to the server, optimize the short drama backstage code using intelligent optimization algorithm, adjust resource loading strategy, analyze user behavior data through the short drama backstage data analysis platform, optimize interface layout using UI design tools, develop intelligent sharing and invitation functions, set up reward mechanism, and realize social communication through WeChat sharing interface;

[0048] S09: Implementation of intelligent data report generation: Establish a data warehouse, use ETL tools for data collection and integration, use data analysis tools for data mining and analysis, generate various visual reports, use machine learning algorithms to train historical data, establish prediction models, and realize the prediction of key operating indicators.

[0049] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for intelligent operation of a short drama platform, characterized by: The steps include: 1) The main console is the core hub of the entire short drama platform operation and is responsible for monitoring and scheduling the overall operation of the platform; 2) Establish a real-time system status monitoring mechanism to conduct all-round monitoring of the server's hardware resources and software operation; 3) Build an agent information management system to comprehensively record and manage the agent's basic information, qualification certification, cooperation history, promotion performance, etc.; 4) Use artificial intelligence technology to conduct intelligent review of the content of the short plays, and automatically detect whether there is any illegal content in the short plays through technical means such as image recognition, voice recognition, and text analysis; 5) Automated order processing. After a user places an order, the system automatically verifies user information, payment status, and inventory of skits; 6) Collect users’ basic information, behavior data, feedback, etc. through multiple channels to build a comprehensive user portrait; 7) Based on the consumption behavior and value analysis of users, we use intelligent algorithms to design diversified recharge packages to meet the needs of different user groups; 8) Real-time monitoring of the performance of the skit backend, including page loading speed, response time, crash rate and other indicators; 9) Establish a unified data collection and processing platform to automatically collect and integrate data from various business links of the platform, including user data, short drama data, order data, recharge data, etc., use data mining and analysis technology to conduct in-depth analysis of the collected data, and generate various intelligent data reports, such as daily operations reports, monthly reports, quarterly reports, as well as user behavior analysis reports, short drama market trend reports, etc.

2. A method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 1), an intelligent task allocation algorithm is used to automatically allocate various operational tasks, such as short play review and system update deployment, to the most suitable personnel based on the staff's skill level, workload and task priority. The key operational data of the platform, such as short play playback volume, user activity, order transaction volume, etc., are collected and displayed in real time, and presented to managers in an intuitive visual interface to assist them in making quick decisions.

3. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 2), an intelligent resource management algorithm is used to automatically adjust server resource allocation according to monitoring data to ensure that the system can maintain stable operation under high concurrency conditions. Intelligent security protection technology is used to detect and prevent security threats such as network attacks and data leakage in real time. Network traffic and user behavior are analyzed through machine learning algorithms to identify abnormal behavior patterns, and blocking, isolation and other security measures are taken in a timely manner. The system is regularly optimized intelligently, including database index optimization, code performance tuning, and system configuration adjustment.

4. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In step 3), the intelligent evaluation model is used to comprehensively consider multi-dimensional data such as the agent's promotion channels, promotion effects, user feedback, etc., and regularly conduct performance evaluations on agents. According to the evaluation results, the cooperation strategy with the agent is automatically adjusted, such as the profit sharing ratio, promotion resource allocation, cooperation period, etc., to provide agents with intelligent promotion tools and data analysis platforms to help agents better understand market demand and user preferences and formulate personalized promotion plans.

5. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 4), a short drama content label system is established, and detailed labels are generated for each short drama based on the subject matter, plot, actors and other information of the short drama. Based on the user's viewing history, collection preferences, search history and other data, a deep learning algorithm is used to build a personalized recommendation model to accurately recommend short dramas that suit the user's interests. The popularity data of the short drama, including the number of views, likes, comments, and reposts, is monitored in real time. The recommended position and display weight of the short drama on the platform are automatically adjusted according to the changes in popularity, thereby increasing the exposure of popular short dramas.

6. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 5), the order data is analyzed in real time, and potential patterns and trends in the orders are discovered through data mining technology, such as user purchase time distribution, popular short drama package combinations, etc. According to the order analysis results, the inventory management strategy is optimized, the sales demand of the short dramas is predicted in advance, and the inventory quantity of the short dramas is reasonably adjusted.

7. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 6), an intelligent customer service system is established, and natural language processing technology is used to implement automatic question-and-answer functions, respond to user inquiries and complaints in real time, and automatically transfer complex questions to manual customer service, and provide relevant user background information to improve customer service processing efficiency and service quality. Through user behavior analysis, the risk of user churn is identified, and personalized retention strategies are formulated for users with high churn risks, such as pushing exclusive discounts and recommending personalized short dramas.

8. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 7), the sales data of the recharge packages are monitored in real time, and indicators such as the purchase conversion rate and user satisfaction of different packages are analyzed. According to the data analysis results, the price, content and promotion strategy of the recharge packages are automatically adjusted.

9. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In the step 8), an intelligent optimization algorithm is used to automatically adjust the code structure, resource loading strategy and server configuration of the short drama background according to the monitoring data, so as to improve the operation performance and stability of the platform. By analyzing the user's behavior path, residence time, operation habits and other data, the platform's interface design and functional layout are optimized to improve the user's operation convenience and usage experience. By utilizing the social communication characteristics of user login, intelligent sharing and invitation functions are developed to encourage users to share short dramas with friends, and provide users with corresponding reward mechanisms.

10. The method for intelligent operation of a short drama platform according to claim 1, characterized in that: In step 9), the report adopts a visual design to display data in the form of intuitive charts, graphs and tables, so as to help managers quickly understand the operating status and development trends of the platform, and predict key operating indicators based on historical data and machine learning algorithms, such as user growth trends, short drama playback volume forecasts, order volume forecasts, etc., to provide a scientific basis for operational decisions.

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