A visual-based portal business orchestration method, system and device

Abstract

The application belongs to the technical field of computers, and particularly relates to a portal business arrangement method based on visualization, which comprises the following steps: step S1: constructing a multi-dimensional user portrait based on user behavior data, and identifying at least one core business scene through a clustering algorithm; step S2: according to the core business scene, utilizing a low-code platform to build a portal framework; step S3: integrating a content resource library, a commodity database and a third-party service interface through an API arrangement engine; step S4: performing intention prediction on user real-time operation data based on an AI algorithm; and step S5: deploying an automatic monitoring system. The method significantly improves resource utilization and user conversion efficiency, is suitable for multiple types of portal scenes such as e-commerce, information and data services, and the arrangement system can comprehensively and visually arrange portal businesses, thereby effectively improving the application effect of the portal arrangement system.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a visualization-based portal business orchestration method, system, and apparatus. Background Technology

[0002] A business process is an abstraction, summary, and description of a business and the business rules between its various operational steps. The execution steps of business orchestration are the cornerstone of a business system that achieves characteristics such as business process visualization, flexibility, and scalability. It is developed quickly, and by dynamically orchestrating business execution steps, it can respond promptly to the flexible changes in an enterprise's organizational structure, business interactions, and operating models, and can meet the business interaction needs within the enterprise and between the enterprise and its partners.

[0003] Currently, business orchestration is typically implemented based on Business Process Management (BPM). BPM encompasses the optimized combination of personnel, equipment, and enterprise applications to achieve cross-application and cross-departmental operations. BPM-based business orchestration can be implemented using a zero-code drag-and-drop approach.

[0004] However, existing portal business orchestration systems are relatively simple and cannot fully visualize the orchestration of portal business, thus affecting the application effect of the portal orchestration system. Summary of the Invention

[0005] 1. Technical problems to be solved The purpose of this invention is to solve the problem that existing portal business orchestration systems are relatively simple and cannot comprehensively and effectively orchestrate portal businesses. Therefore, this invention proposes a visualization-based portal business orchestration method, system, and device.

[0006] 2. Technical Solution To achieve the above objectives, the present invention adopts the following technical solution: A visualization-based portal business orchestration method includes the following steps: Step S1: Construct a multi-dimensional user profile based on user behavior data (browsing path, device type, page dwell time), and identify at least one core business scenario through clustering algorithm; Step S2: Based on the core business scenario, build a portal framework using a low-code platform, dynamically configure content modules and navigation logic, and support real-time switching between comprehensive layout and left-right layout; Step S3: Integrate the content resource library, product database and third-party service interfaces through the API orchestration engine to generate "content-product-service" linkage rules; Step S4: Based on AI algorithms, predict user intent from real-time operation data and dynamically adjust the priority of portal modules and recommendation strategies; Step S5: Deploy an automated monitoring system to collect data on page loading speed, API call success rate, and user conversion rate in real time, triggering fault tolerance mechanisms or strategy iterations.

[0007] Preferably, in step S1, user operation hotspot data is obtained through tracking technology, user groups are divided by combining random forest algorithm, and scenario priority ranking is generated; the core business scenarios include at least one of traffic distribution, paid conversion, and user retention.

[0008] Preferably, in step S2, the low-code platform supports visual drag-and-drop components and has pre-set responsive layout templates, such as waterfall layout, carousel, and grid layout; the navigation logic configuration includes dynamic menu hierarchy optimization and permission rule binding.

[0009] Preferably, in step S3, the API orchestration engine defines linkage rules through the rule engine Drools, including: when a user accesses live content, automatically associating the SKUs in the product library and generating a recommendation card; when a user triggers a payment behavior, calling a third-party risk control interface to perform transaction security verification.

[0010] Preferably, in step S4, the AI ​​algorithm uses a temporal neural network LSTM to predict user behavior paths, and dynamically adjusts at least one of the following based on the prediction results: the sorting of homepage content modules; the frequency of pop-up ads; and the display strategy for paid entry points.

[0011] Preferably, the fault tolerance mechanism in step S5 includes: automatically switching to a backup data source when the API call failure rate exceeds a preset threshold; triggering elastic scaling and downgrading non-core services when the server load exceeds 80%; and the strategy iteration compares different layout schemes using A / B testing tools and updates the portal configuration based on the significance test results.

[0012] The present invention also proposes a visualization-based portal business orchestration system, including a user behavior analysis module for executing step S1; a low-code portal construction module for executing step S2; a multi-source data collaboration module for executing step S3; a dynamic strategy decision module for executing step S4; and a monitoring and optimization module for executing step S5.

[0013] Preferably, the system is deployed in a distributed cloud environment, supporting horizontal scaling and multi-tenant resource isolation.

[0014] The present invention also proposes an apparatus for a visualization-based portal business orchestration system, including a memory and a processor, and a computer program stored in the memory and executable on the processor.

[0015] 3. Beneficial effects Compared with the prior art, the advantages of this invention are: This invention integrates user behavior analysis, low-code platform construction, multi-source data linkage, and AI dynamic decision-making to achieve automated orchestration and real-time optimization of portal services. This method significantly improves resource utilization and user conversion efficiency, and is applicable to various portal scenarios such as e-commerce, news, and data services. The orchestration system can comprehensively and visually orchestrate portal services, thereby effectively improving the application effect of the portal orchestration system. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a visualization-based portal business orchestration method proposed in this invention. Figure 2 This is a schematic diagram of the composition of a visualization-based portal business orchestration system proposed in this invention. Detailed Implementation

[0017] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0018] Example 1: Reference Figure 1 A visualization-based portal business orchestration method includes the following steps: Step S1: Construct a multi-dimensional user profile based on user behavior data (browsing path, device type, page dwell time), identify at least one core business scenario through clustering algorithm, obtain user operation hotspot data through tracking technology, divide user groups by combining random forest algorithm, and generate scenario priority ranking; the core business scenario includes at least one of traffic distribution, paid conversion, and user retention. Step S2: Based on the core business scenario, build a portal framework using a low-code platform, dynamically configure content modules and navigation logic, support real-time switching between comprehensive layout and left-right layout, the low-code platform supports visual drag-and-drop components, and has pre-set responsive layout templates, such as waterfall layout, carousel, and grid layout; navigation logic configuration includes dynamic menu hierarchy optimization and permission rule binding. Step S3: Integrate the content resource library, product database, and third-party service interfaces through the API orchestration engine to generate "content-product-service" linkage rules; the API orchestration engine defines linkage rules through the rule engine Drools, including: when a user accesses live content, automatically associate the matching SKU in the product library and generate a recommendation card; when a user triggers a payment behavior, call the third-party risk control interface to perform transaction security verification; Step S4: Based on AI algorithms, predict user intent from real-time operation data and dynamically adjust the priority of portal modules and recommendation strategies; the AI ​​algorithm uses a temporal neural network LSTM to predict user behavior paths and dynamically adjusts at least one of the following based on the prediction results: homepage content module sorting; pop-up ad frequency; paid entry display strategy; Step S5: Deploy an automated monitoring system to collect real-time data on page loading speed, API call success rate, and user conversion rate, triggering fault tolerance mechanisms or strategy iterations. Fault tolerance mechanisms include: automatically switching to a backup data source when the API call failure rate exceeds a preset threshold; triggering elastic scaling and downgrading non-core services when the server load exceeds 80%. The strategy iterations compare different layout schemes using A / B testing tools and update the portal configuration based on the significance test results.

[0019] In this embodiment, by integrating user behavior analysis, low-code platform construction, multi-source data linkage, and AI dynamic decision-making, the automated orchestration and real-time optimization of portal services are achieved. This method significantly improves resource utilization and user conversion efficiency, and is applicable to various types of portal scenarios such as e-commerce, news, and data services. The orchestration system can comprehensively and visually orchestrate portal services, thereby effectively improving the application effect of the portal orchestration system.

[0020] Example 2: It has the implementation content of the above embodiments, wherein the specific implementation methods of the above embodiments can be referred to the above description, and the embodiments here will not be described in detail again; however, the difference between the embodiments in this application and the above embodiments is that: Reference Figure 2 A visualization-based portal business orchestration system includes a user behavior analysis module for executing step S1 of claim 1; a low-code portal construction module for executing step S2; a multi-source data collaboration module for executing step S3; a dynamic strategy decision module for executing step S4; and a monitoring and optimization module for executing step S5. The system is deployed in a distributed cloud environment and supports horizontal scaling and multi-tenant resource isolation.

[0021] Example 3: It has the implementation content of the above embodiments, wherein the specific implementation methods of the above embodiments can be referred to the above description, and the embodiments here will not be described in detail again; however, the difference between the embodiments in this application and the above embodiments is that: An apparatus for a visualization-based portal business orchestration system includes a memory and a processor, as well as a computer program stored in the memory and executable on the processor.

[0022] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A visualization-based portal business orchestration method, characterized in that, Includes the following steps: Step S1: Construct a multi-dimensional user profile based on user behavior data (browsing path, device type, page dwell time), and identify at least one core business scenario through clustering algorithm; Step S2: Based on the core business scenario, build a portal framework using a low-code platform, dynamically configure content modules and navigation logic, and support real-time switching between comprehensive layout and left-right layout; Step S3: Integrate the content resource library, product database and third-party service interfaces through the API orchestration engine to generate "content-product-service" linkage rules; Step S4: Based on AI algorithms, predict user intent from real-time operation data and dynamically adjust the priority of portal modules and recommendation strategies; Step S5: Deploy an automated monitoring system to collect data on page loading speed, API call success rate, and user conversion rate in real time, triggering fault tolerance mechanisms or strategy iterations.

2. The portal service orchestration method based on visualization according to claim 1, characterized in that, In step S1, user operation hotspot data is obtained through tracking technology, user groups are divided by random forest algorithm, and scenario priority ranking is generated; the core business scenarios include at least one of traffic distribution, paid conversion, and user retention.

3. The portal service orchestration method based on visualization according to claim 1, characterized in that, In step S2, the low-code platform supports visual drag-and-drop components and has pre-set responsive layout templates, such as waterfall layout, carousel, and grid layout; the navigation logic configuration includes dynamic menu hierarchy optimization and permission rule binding.

4. The portal service orchestration method based on visualization according to claim 1, characterized in that, In step S3, the API orchestration engine defines linkage rules through the rule engine Drools, including: when a user accesses live content, automatically associating with the matching SKU in the product library and generating a recommendation card; when a user triggers a payment behavior, calling a third-party risk control interface to perform transaction security verification.

5. The portal service orchestration method based on visualization according to claim 1, characterized in that, In step S4, the AI ​​algorithm uses a temporal neural network LSTM to predict user behavior paths and dynamically adjusts at least one of the following based on the prediction results: the sorting of homepage content modules; the frequency of pop-up ads; and the display strategy for paid entry points.

6. The portal service orchestration method based on visualization according to claim 1, characterized in that, The fault tolerance mechanism in step S5 includes: automatically switching to a backup data source when the API call failure rate exceeds a preset threshold; triggering elastic scaling and downgrading non-core services when the server load exceeds 80%; and updating the portal configuration based on the significance test results by comparing different layout schemes through A / B testing tools.

7. A visualization-based portal business orchestration system, characterized in that, It includes a user behavior analysis module for performing step S1 of claim 1; a low-code portal construction module for performing step S2 of claim 1; a multi-source data collaboration module for performing step S3 of claim 1; a dynamic strategy decision-making module for performing step S4 of claim 1; and a monitoring and optimization module for performing step S5 of claim 1.

8. A portal business orchestration system based on visualization according to claim 7, characterized in that, The system is deployed in a distributed cloud environment and supports horizontal scaling and multi-tenant resource isolation.

9. An apparatus based on the portal service orchestration system of claim 7, characterized in that, It includes a memory and a processor, as well as a computer program stored in the memory and capable of running on the processor.

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