Course business product information service system

Abstract

The invention discloses a course business product information service system, and relates to the field of information services, and the system comprises a course service management center which is provided with a product collection module, a service collection module, a business management module, a service analysis module, a service interaction module and a product integration module. The product acquisition module is used for acquiring course business product information and corresponding course knowledge point information; the service acquisition module is used for acquiring student basic information and course learning information; the business management module is used for constructing a course knowledge point storage map; the service analysis module is used for acquiring service feedback data of the student user; a service interaction module user performs interaction analysis according to the service feedback data and the course knowledge point storage map to generate service interaction data; the product integration module is used for performing adjustment and integration according to the service interaction data, and generating adaptive business product information corresponding to the student user; the flexibility of the course business product service process is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of information services, and particularly to an information service system for course business product information. Background Art

[0002] With the rapid development of Internet technology, the online education market has shown explosive growth. More and more users tend to obtain course resources through the Internet for autonomous learning. The traditional offline course information dissemination and management methods are difficult to meet the needs of large-scale online course business. Therefore, a dedicated system is needed to integrate and associate the corresponding online course information, so as to achieve one-stop services for online display, sales, teaching, and management of courses; After retrieval, the invention patent with the Chinese patent number CN108510417A discloses a department business knowledge training management system, which is characterized in that: it includes a business knowledge input module, a business knowledge database, a training course assessment module, a management server, and a display terminal; the business knowledge input module is connected to the business knowledge database, and the management server is respectively connected to the business knowledge database, the training course assessment module, and the display terminal, and the business knowledge database is connected to the training course assessment module. The department business knowledge training management system provided by the present invention assesses the business course knowledge corresponding to different course students through the business knowledge database and the training course assessment module, and combines the management server to master the business knowledge mastery of each employee, which is convenient for managers to conduct targeted training, improves the mastery of employees' business knowledge, and further improves the actual business ability.

[0003] Compared with the prior art, the invention patent with the Chinese patent number CN108510417A can assess the business course knowledge corresponding to different course students, and master different business knowledge mastery according to the assessment situation, so as to conduct targeted course training, thereby improving the applicability rate in the business course training process.

[0004] However, in the actual use process of the above system, different students are taught through single business course knowledge, without considering the individual needs of different students, and it is impossible to effectively dynamically adjust the business course knowledge, which to a certain extent affects the efficiency of students' learning process, and the flexibility in the course product service process is insufficient. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcoming of insufficient flexibility in course services in the prior art, and to propose an information service system for course business product information.

[0006] In order to achieve the above purpose, the present invention adopts the following technical solutions: A course business product information service system, including a course service management center, which is provided with a product collection module, a service collection module, a business management module, a service analysis module, a service interaction module and a product integration module; The product collection module is used to collect corresponding course business product information, review and analyze the course business product information, and obtain corresponding course knowledge point information according to the review and analysis results; The service collection module is used to collect the basic information of students and course learning information corresponding to student users, and construct a student simulation portrait according to the basic information of students; The business management module is used to conduct series-parallel analysis on the course knowledge point information corresponding to the collected course business product information, and construct a storage map of course knowledge points corresponding to the course business product information according to the series-parallel analysis results; The service analysis module is used to conduct service quantification analysis on the obtained course learning information according to the student simulation portrait, and obtain service feedback data corresponding to student users; The service interaction module is used to conduct interaction analysis on the storage map of course knowledge points according to the service feedback data corresponding to the corresponding student users, obtain the corresponding course business product information in the storage map of course knowledge points according to the corresponding series-parallel analysis results, and generate service interaction data; The product integration module is used to dynamically adjust and integrate the course business product information corresponding to student users according to the obtained service interaction data, and generate adaptive business product information corresponding to student users.

[0007] The above technical solution further includes: The process of collecting course business product information includes: Set up a product collection unit and a product analysis unit; Corresponding staff upload corresponding course business product information through the product collection unit. The course business product information includes course product basic information and course product content information. The course product basic information includes course introduction, course type, course outline and course permission information. The course product content information includes the course explanation information corresponding to the corresponding course; The product analysis unit is used to set up review processing mechanism flow information in combination with the course product basic information, review and analyze the corresponding course product content information, conduct analysis and processing on the course business product information that passes the review and analysis, obtain a preset professional resource library according to the corresponding course type, and compare and analyze the course product content information with the corresponding professional resource library based on big data analysis technology to obtain corresponding course knowledge point information.

[0008] Furthermore, the process of constructing a student simulation portrait includes: Set up a student collection unit and a student analysis unit; Collect the basic student information and course learning information during the learning process corresponding to the respective student users through the student collection unit. The basic student information includes the corresponding user basic information and user extension information, and the course learning information includes learning behavior data, learning interaction data, and learning feedback data; Extract multi-dimensional information features from the obtained basic student information through the student analysis unit. The multi-dimensional information includes the learning foundation dimension, learning goal dimension, and learning style dimension. Visualize the extraction results of each multi-dimensional information, integrate the visualization results, and construct a student simulation portrait corresponding to the respective student users.

[0009] Further, the process of performing series-parallel analysis on the course knowledge point information corresponding to the collected course business product information includes: Obtain the course business product information and course knowledge point information corresponding to the respective course types, perform knowledge sorting on the course knowledge point information respectively, and set a corresponding adjacency matrix according to the knowledge sorting results to construct a knowledge graph for the corresponding course type; Obtain the sorting order of the corresponding course knowledge point information based on the topological sorting algorithm for the obtained knowledge graph, and obtain the series queue P corresponding to the corresponding course knowledge point information according to the sorting result; Construct an inverse adjacency list based on the course knowledge point information with series relationship and the course knowledge point information without series relationship in the series queue P, set the knowledge point node linked list connected between the corresponding course knowledge point information based on the inverse adjacency list, and obtain the parallel relationship by obtaining the position information in the knowledge point node linked list to which the corresponding course knowledge point information belongs; Mark the association relationship and parallel relationship between each course knowledge point information in the knowledge graph.

[0010] Further, the process of constructing a course knowledge point storage graph corresponding to the course business product information includes: Obtain the series-parallel analysis results corresponding to the respective course knowledge point information, and set a corresponding knowledge point architecture model according to the marking results of the association relationship and parallel relationship between each course knowledge point information in the knowledge graph; Obtain the course knowledge point information included in the course business product information, perform product segmentation processing according to the course knowledge point information to obtain course product segmentation information, and perform retrieval marking on the course product segmentation information according to the corresponding course knowledge point information; Store each retrieval tag corresponding to the course business product information according to the position information of the corresponding knowledge point architecture model of the course knowledge point information, set the knowledge point storage space according to the storage result, and construct a course knowledge point storage map based on the course business product information corresponding to each retrieval tag in the knowledge point storage space.

[0011] Furthermore, the process of obtaining the service feedback data corresponding to the student users includes: Obtain the course learning information corresponding to the student users and the corresponding student simulation portraits; Conduct service quantification analysis on the course learning information according to the student simulation portraits, and set the corresponding historical quantification evaluation standard data according to the feature extraction results of the corresponding learning foundation dimension, learning goal dimension, and learning style dimension in the student simulation portraits; Extract features from the learning behavior data, learning interaction data, and learning feedback data corresponding to the course learning information based on the corresponding multi-dimensional information, and obtain the quantification evaluation data corresponding to the corresponding course learning information at the corresponding course knowledge point information; Compare and analyze the obtained quantification evaluation data with the corresponding historical quantification evaluation standard data respectively, obtain the corresponding quantification evaluation deviation data according to the comparison and analysis, preset a feedback progressive evaluation link, compare and analyze the quantification evaluation deviation data corresponding to the multi-dimensional information with the feedback progressive evaluation link, and respectively obtain the dimension weight factors corresponding to the corresponding quantification evaluation deviation data; Integrate according to the corresponding dimension weight factors and the corresponding quantification evaluation deviation data to obtain the service feedback data corresponding to the corresponding student users.

[0012] Furthermore, the process of generating service interaction data includes: Obtain the service feedback data corresponding to the corresponding student users, and generate student demand data for the multi-dimensional information corresponding to the current course knowledge point information of the student users according to the service feedback data; Obtain the course knowledge point information that has a series-parallel relationship with the corresponding course knowledge point information in the course knowledge point storage map, obtain the course business product information corresponding to the retrieval tag of the corresponding course knowledge point information, and obtain the course product segment information corresponding to the retrieval tag of the course business product information; Obtain the historical learning information corresponding to the course product segment information, where the historical learning information is the student user portrait data corresponding to other student users corresponding to the corresponding course product segment information, set a historical learning information set, analyze and process the historical learning information set, and obtain the learning preference data corresponding to each course product segment information; Perform a matching interaction analysis based on the learning preference data corresponding to the trainee demand data and the corresponding segmented information of the course products, and determine whether the corresponding segmented information of the course products meets the needs of the trainee users. If it meets, set an interaction mark for the corresponding segmented information of the course products. Generate service interaction data for the segmented information of the course products with interaction marks set.

[0013] Furthermore, the process of generating the adaptive business product information corresponding to the trainee users includes: Send the obtained service interaction data to the corresponding trainee user accounts. The corresponding trainee user accounts make independent selections based on the segmented information of the course products with corresponding interaction marks in the service interaction data, dynamically adjust and integrate the corresponding course business product information according to the independent selection results of the trainee users, and generate the adaptive business product information corresponding to the trainee users according to the dynamic adjustment and integration results.

[0014] The present invention has the following beneficial effects: 1. In the present invention, obtain the course knowledge point information corresponding to the course business product information, construct a course knowledge point storage map for storing the course knowledge point information corresponding to the corresponding course business product information according to the relationship between the corresponding course knowledge point information, and associate the corresponding course business product information through the course knowledge point storage map, so as to facilitate dynamic adjustment according to the course service process corresponding to the trainee users, thereby increasing the flexibility of the course business product information in the service process for trainee users.

[0015] 2. In the present invention, obtain the basic information of the trainee corresponding to the trainee user and the course learning information during the learning process, perform multi-dimensional feature extraction on the obtained information, construct a trainee simulation image corresponding to the corresponding trainee user according to the multi-dimensional feature extraction results, and perform quantitative analysis on the state demand data during the learning process of the trainee user according to the trainee simulation image, so as to achieve real-time dynamic adjustment according to the trainee state, thereby improving the learning efficiency to a certain extent during the course learning process, ensuring that the trainee users can select the course business product information suitable for themselves to the greatest extent, and thus avoiding corresponding resource waste. Brief Description of the Drawings

[0016] Figure 1 It is a schematic structural diagram of a course business product information service system proposed by the present invention. Detailed Embodiment

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention. Embodiment 1

[0018] As Figure 1 shown, a course business product information service system proposed by the present invention includes a course service management center, and a product collection module, a service collection module, a business management module, a service analysis module, a service interaction module, and a product integration module are arranged in the course service management center; The course service management center is used to provide one-stop service management for corresponding course business products from review, sales, teaching, and management, and realize two-way dynamic management of courses and students through one-stop service management, so as to improve the service flexibility of corresponding course business products and the utilization rate of students for corresponding course business products.

[0019] The product collection module is used to collect corresponding course business product information, review and analyze the course business product information, and obtain corresponding course knowledge point information according to the review and analysis results. Its specific implementation process includes: Set up a product collection unit and a product analysis unit; A product information upload port and a product content upload port are arranged in the product collection unit; The product information upload port is used for corresponding staff to upload corresponding basic course product information, and the basic course product information includes corresponding course name, course introduction, course type, course outline, course teacher information, basic course knowledge point information, course permission information, and course-related event information, etc.; It should be further noted that in the specific implementation process, the course permission information is the corresponding permission level in the corresponding course service management center, and the corresponding permission level corresponds to the learning permission of a type of course business product information; The product content upload port is used for corresponding staff to generate corresponding course product content information according to the corresponding basic course product information, and the course product content information includes corresponding course explanation information corresponding to the course; In summary, the product collection unit synthesizes the obtained basic course product information and course product content information to generate corresponding course business product information, and sends the course business product information to the product analysis unit; The product analysis unit is provided with a product review port and a product analysis port, which are respectively used for reviewing and analyzing the corresponding curriculum business product information and obtaining the corresponding curriculum knowledge point information according to the review and analysis results; The product review port is used for reviewing and analyzing the corresponding curriculum product content information according to the curriculum product basic information, setting the corresponding review processing mechanism flow information according to the curriculum product basic information. The review processing mechanism flow information includes the review mechanism corresponding to the curriculum product basic information, the review standard information set corresponding to the review result of the curriculum product basic information, and the review mechanism corresponding to the curriculum product content information corresponding to the review standard information. The process includes: Obtain the curriculum product basic information, analyze and process the curriculum product basic information, and conduct reviews on the curriculum product basic information respectively. If the review is passed, set the basic review standard information corresponding to the curriculum product content information according to the content of the corresponding curriculum product basic information. The basic review standard information is the review standard corresponding to the curriculum product content information based on the curriculum product basic information, such as whether it conforms to the curriculum outline, teaching staff, and curriculum introduction. If all the basic review standard information passes the review, review the curriculum product content information through the corresponding review mechanism. Among them, the review mechanism can include an artificial intelligence review mechanism and a professional review team mechanism; Send the reviewed and passed curriculum business product information to the corresponding product analysis port; The product analysis port is used for analyzing and processing the reviewed and passed curriculum business product information to obtain the corresponding curriculum knowledge point information. The specific process includes: Obtain the curriculum business product information, and analyze and process it according to the curriculum product basic information and curriculum product content information corresponding in the curriculum business product information; Conduct matching analysis on the corresponding curriculum product content information according to the curriculum basic knowledge point information corresponding to the curriculum product basic information to obtain the first curriculum knowledge point information; Mark the first curriculum knowledge point information in the curriculum business product information; Obtain the corresponding professional resource library according to the curriculum type, compare and analyze the unmarked curriculum product content information with the corresponding professional resource library based on big data analysis technology, and obtain the matching curriculum knowledge point information according to the comparison and analysis results to obtain the second curriculum knowledge point information; Conduct professional verification on the obtained first curriculum knowledge point information and second curriculum knowledge point information, set the ones that meet the analysis requirements as the corresponding curriculum knowledge point information according to the professional verification results, and mark them on the corresponding curriculum product content information.

[0020] The service collection module is used to collect the basic information of students and the information on course learning corresponding to student users, and construct a simulated portrait of students based on the basic information of students. The specific implementation process includes: Set up a student collection unit and a student analysis unit; The student collection unit is used to collect the corresponding basic information of students and the information on course learning; Preset an active submission port and a passive acquisition port; The active submission port is used for the corresponding student users to submit the basic user information, and the basic user information includes basic identity information, educational and vocational information, interest preference information, etc.; The passive acquisition port is used to set up an information collection verification question set according to the basic user information. The information collection verification question set includes multiple questions for verifying and expanding the basic user information. The user answers the information collection verification question set, and the user's extended information is obtained according to the answer result; Unify the obtained basic user information and user's extended information and label them as the basic information of students; Preset a service collection port, which is used for the product order information corresponding to different student users in the course service management center. The product order information is the course usage rights purchased by the corresponding student users, and the course business product information corresponding to the corresponding rights is obtained through the corresponding course usage rights; Grant the corresponding course usage rights to the student users according to the product order information corresponding to the corresponding student users, and the student users learn the corresponding course business product information according to the corresponding course usage rights; Collect the learning process of the corresponding student users in the corresponding course business product information through the service collection port, and obtain the course learning information corresponding to the course knowledge points in the corresponding course business product information. The course learning information includes the learning behavior data, learning interaction data and learning feedback data corresponding to the student users, where: The learning behavior data is the learning duration information, learning progress information, learning frequency information and learning path information corresponding to the corresponding course knowledge points; The learning interaction data is course interaction data, teacher-student interaction data and student interaction data; The learning feedback data is the personalized feedback data corresponding to the corresponding student users; The student analysis unit is used to analyze and process the basic information of students and the historical course learning information, and set up a simulated portrait of students according to the analysis results. The process includes: Obtain the basic information of the students and their historical course learning information, extract features from the basic information of the students and their historical course learning information, and respectively obtain the objective feature information and subjective feature information in the user's basic information, user extended information, historical learning behavior data, historical learning interaction data, and historical learning feedback data. The objective feature information is the educational knowledge point information mastered and not mastered by the corresponding student user, as well as the corresponding learning style stability data. The subjective feature information is the educational knowledge point information that the corresponding student user wants to master, does not want to master, and has not covered; Perform multi-dimensional information extraction on the objective feature information and subjective feature information. The multi-dimensional information includes multiple dimensions such as interest preference dimension, learning foundation dimension, learning goal dimension, and learning style dimension; Perform visual display according to the multi-dimensional information extraction results, and map the objective feature information and subjective feature information into the multi-dimensional information sub-portraits; Perform visual display and storage of the mapped feature information in each multi-dimensional information sub-portrait, construct the corresponding student simulation portrait, and perform real-time update and storage of the student simulation portrait.

[0021] The business management module is used to perform series-parallel analysis on the course knowledge point information corresponding to the collected course business product information, and construct a storage map of the course knowledge points corresponding to the course business product information according to the series-parallel analysis results. The specific implementation process includes: Set up a business analysis unit and a course management unit; The business analysis unit is used to obtain the corresponding course business product information and its corresponding course knowledge point information, and perform series-parallel analysis on the obtained course business product information according to the corresponding course knowledge point information. The process includes: Obtain the course business product information and the corresponding course knowledge point information stored in the course service management center, sort out the knowledge of the involved course knowledge point information, and construct a corresponding adjacency matrix. The adjacency matrix includes the distribution connection situation corresponding to the corresponding course knowledge point information; Mark the obtained course knowledge point information respectively, set corresponding knowledge point nodes according to the marking results, and sort the marked knowledge point nodes according to the corresponding list; Obtain the corresponding array C according to the arrangement result, use inDegree[n] to record the in-degree value of each node, and set the initial value of each knowledge point node to 0. If the corresponding array C includes n knowledge point nodes, the node numbers are from 0 to n - 1; Create a queue Q according to the corresponding array C. The queue Q is used to store the nodes with an in-degree of 0; Set the knowledge graph corresponding to the corresponding knowledge point nodes according to the queue Q, and represent it with the adjacency matrix adjMatrix[][]. When there is an edge from knowledge point node i to knowledge point node j, then adjMatrix[i][j]=1, otherwise it is 0; Traverse all the edges in the obtained knowledge graph. For each edge (u, v), increment the in-degree value inDegree[v] of node v by 1, that is: inDegree[v]=inDegree[v]+1; Add the knowledge point node i with inDegree[i]=0 in the array C to the queue P; Take out the knowledge point node v at the head of the queue Q, delete it from the queue, and output the knowledge point node v, indicating that this node is the knowledge point that can be learned currently, and there is a series relationship between it and the previously output nodes; Traverse all the successor nodes u of the knowledge point node v. If inDegree[u]=0, add the knowledge point node u to the queue P until all the knowledge point nodes in the queue Q are traversed, output the corresponding queue P, obtain the sorting order of each knowledge point node output in the queue P, and obtain the series relationship of the corresponding knowledge point nodes according to the corresponding sorting order; Perform marking processing on each knowledge point node in the knowledge graph according to the series relationship corresponding to each knowledge point node in the knowledge graph, and construct an inverse adjacency list according to the marking processing result; The inverse adjacency list is used to store the information of the precursor knowledge point nodes corresponding to each knowledge point node. For each knowledge point node in the knowledge graph, traverse all its successor knowledge point nodes, create a linked list for each successor knowledge point node in the inverse adjacency list, and add the current knowledge point node as the precursor knowledge point node to the linked list of the successor knowledge point node; For any two knowledge point nodes A and B, if they meet the following conditions, they can be considered as parallel relationships: There is no direct sequence relationship between A and B in the topological sorting sequence, that is, A is not the precursor knowledge point node of B, and B is not the precursor knowledge point node of A; There is one or more common successor knowledge point nodes, that is, through the inverse adjacency list, it is found that there are the same knowledge point nodes in the precursor knowledge point node linked lists of A and B; Send the marking results of the association relationship and parallel relationship between each knowledge point node in the knowledge graph to the course management unit; The course management unit is used to obtain the series-parallel analysis results corresponding to the corresponding course knowledge point information, and set the corresponding knowledge point architecture model according to the marking results of the association relationship and parallel relationship between each course knowledge point information in the knowledge graph; Obtain the course knowledge point information included in the course business product information, perform product segmentation processing according to the course knowledge point information, obtain the course product segmentation information, and perform retrieval marking on the course product segmentation information according to the corresponding course knowledge point information; Store each retrieval mark corresponding in the course business product information according to the position information of the knowledge point architecture model to which the corresponding course knowledge point information belongs, set the knowledge point storage space according to the storage result, and construct a course knowledge point storage map according to the course business product information corresponding to each retrieval mark in the knowledge point storage space.

[0022] The service analysis module is used to perform service quantitative analysis on the obtained course learning information according to the simulated portrait of the student, and obtain the service feedback data corresponding to the student user. The process includes: Obtain the course learning information corresponding to the student user and the corresponding simulated portrait of the student; Perform service quantitative analysis on the course learning information according to the simulated portrait of the student, and set the corresponding historical quantitative evaluation standard data according to the feature extraction results of the corresponding learning foundation dimension, learning goal dimension and learning style dimension in the simulated portrait of the student; Obtain the learning behavior data, learning interaction data and learning feedback data corresponding to the course knowledge point information in the course learning information; Map the feature extraction results corresponding to the obtained learning behavior data, learning interaction data and learning feedback data into the corresponding multi-dimensional information respectively, and obtain the corresponding quantitative data sets respectively; Set the space coordinate system of the quantization result of the feature extraction result of the course learning information about the multi-dimensional information according to the historical quantitative evaluation standard data corresponding to the obtained quantitative data sets and the corresponding multi-dimensional information respectively; Map the corresponding quantitative data sets into the corresponding space coordinate systems, and obtain the corresponding multi-dimensional learning vectors in the space coordinate systems , where n is the type of corresponding multi-dimensional information and x is the type of corresponding course learning information; Obtain the corresponding quantitative evaluation data QA according to the corresponding multi-dimensional learning vectors: , where is the historical standard vector data of the corresponding type of course learning information in the corresponding multi-dimensional information, is the historical learning evaluation weight data of the corresponding type of course learning information in the corresponding multi-dimensional information; Compare and analyze the obtained quantitative evaluation data with the corresponding historical quantitative evaluation standard data respectively, and obtain the corresponding quantitative evaluation deviation data according to the comparison and analysis; Obtain the corresponding associated data sets in sequence according to the learning foundation dimension, learning style dimension and learning goal dimension; Set corresponding associated elements for the corresponding associated data set according to the quantitative evaluation data corresponding to the learning basic dimension, learning objective dimension, and learning style dimension; Sort the corresponding associated elements in a progressive order, and set the associated data set as multiple associated comparison subsets according to the progressive sorting result; Analyze and process the corresponding associated comparison subsets based on the deep learning algorithm, construct a comparison model for the change of dimension weight factors between the associated elements corresponding to the corresponding associated comparison subsets, and obtain the dimension weight factors of the multi-dimensional information corresponding to the corresponding associated subsets according to the constructed comparison model for the change of dimension weight factors; Preset a feedback progressive evaluation link according to the comparison model for the change of dimension weight factors corresponding to each associated comparison subset, compare and analyze the quantitative evaluation deviation data corresponding to the multi-dimensional information with the feedback progressive evaluation link, and respectively obtain the dimension weight factors corresponding to the corresponding quantitative evaluation deviation data; Integrate according to the corresponding dimension weight factors and the corresponding quantitative evaluation deviation data to obtain the service feedback data corresponding to the corresponding student user.

[0023] The service interaction module is used to perform interactive analysis on the course knowledge point storage map according to the service feedback data corresponding to the corresponding student user, obtain the course business product information corresponding to the course knowledge point storage map according to the corresponding series-parallel analysis result, and generate service interaction data. The process includes: Obtain the service feedback data corresponding to the corresponding student user, and generate student demand data for the multi-dimensional information corresponding to the current course knowledge point information of the student user according to the service feedback data; Obtain the course knowledge point information in the course knowledge point storage map that has a series-parallel relationship with the corresponding course knowledge point information, obtain the course business product information corresponding to the retrieval mark of the corresponding course knowledge point information, and obtain the course product segment information corresponding to the retrieval mark of the course business product information; Compare and analyze the course permission information corresponding to the obtained course product segment information with the course order information of the corresponding student user, screen the retrieval mark result according to the comparison and analysis result, and obtain the course product segment information corresponding to the course order information of the student user; Obtain the historical learning information corresponding to the course product segment information. The historical learning information is the student user portrait data corresponding to other student users corresponding to the corresponding course product segment information, set a historical learning information set, analyze and process the historical learning information set, and obtain the learning preference data corresponding to each course product segment information; According to the matching interaction analysis between the trainee demand data and the learning preference data corresponding to the corresponding course product segmentation information, determine whether the corresponding course product segmentation information meets the needs of the trainee users. If it meets, set an interaction mark for the corresponding course product segmentation information; Generate service interaction data for the course product segmentation information with the interaction mark set; The product integration module is used to dynamically adjust and integrate the course business product information corresponding to the trainee users based on the obtained service interaction data, and generate the adaptive business product information corresponding to the trainee users. The process includes: Send the obtained service interaction data to the corresponding trainee user account. The corresponding trainee user account makes independent selections according to the course product segmentation information corresponding to the interaction mark in the service interaction data, dynamically adjusts and integrates the corresponding course business product information according to the independent selection results of the trainee users, and generates the adaptive business product information corresponding to the trainee users according to the dynamic adjustment and integration results.

[0024] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A course business product information service system, including a course service management center, characterized in that, A product collection module, a service collection module, a business management module, a service analysis module, a service interaction module, and a product integration module are provided in the course service management center; The product collection module is used to collect corresponding course business product information, review and analyze the course business product information, and obtain corresponding course knowledge point information according to the review and analysis results; The service collection module is used to collect the basic information of students and the course learning information corresponding to student users, and construct a student simulation portrait according to the basic information of students; The business management module is used to perform series-parallel analysis on the course knowledge point information corresponding to the collected course business product information, and construct a storage map of course knowledge points corresponding to the course business product information according to the series-parallel analysis results; The service analysis module is used to perform service quantification analysis on the obtained course learning information according to the student simulation portrait, and obtain service feedback data corresponding to student users; The service interaction module is used to perform interaction analysis on the storage map of course knowledge points according to the service feedback data corresponding to the corresponding student users, obtain the course business product information corresponding to the storage map of course knowledge points according to the corresponding series-parallel analysis results, and generate service interaction data; The product integration module is used to dynamically adjust and integrate the course business product information corresponding to student users according to the obtained service interaction data, and generate adaptive business product information corresponding to student users.

2. The information service system for a course business product according to claim 1, wherein The process of collecting course business product information includes: Setting a product collection unit and a product analysis unit; The corresponding staff upload the corresponding course business product information through the product collection unit. The course business product information includes course product basic information and course product content information. The course product basic information includes course introduction, course type, course outline, and course permission information. The course product content information includes the course explanation information corresponding to the corresponding course; The product analysis unit is used to set the review processing mechanism flow information in combination with the course product basic information, review and analyze the corresponding course product content information, analyze and process the course business product information that passes the review and analysis, obtain the preset professional resource library according to the corresponding course type, and compare and analyze the course product content information with the corresponding professional resource library based on big data analysis technology to obtain the corresponding course knowledge point information.

3. The information service system for course business product according to claim 2, wherein The process of constructing a student simulation portrait includes: Setting a student collection unit and a student analysis unit; Collecting the basic information of students and the course learning information in the learning process corresponding to the corresponding student users through the student collection unit. The basic information of students includes the corresponding user basic information and user extension information. The course learning information includes learning behavior data, learning interaction data, and learning feedback data; Performing multi-dimensional information feature extraction on the obtained basic information of students through the student analysis unit. The multi-dimensional information includes interest preference dimension, learning foundation dimension, learning goal dimension, and learning style dimension. Visualize the extraction results of each multi-dimensional information, integrate the visualization results, and construct a student simulation portrait corresponding to the corresponding student users.

4. The information service system for course business product according to claim 3, wherein The process of performing series-parallel analysis on the course knowledge point information corresponding to the collected course business product information includes: Obtain the course business product information and course knowledge point information corresponding to the corresponding course type, respectively perform knowledge sorting on the course knowledge point information, and set a corresponding adjacency matrix according to the knowledge sorting result to construct a knowledge graph of the corresponding course type; Based on the topological sorting algorithm, obtain the sorting order of the corresponding course knowledge point information from the obtained knowledge graph, and obtain the series queue P corresponding to the corresponding course knowledge point information according to the sorting result; Construct an inverse adjacency list based on the course knowledge point information with series relationship and the course knowledge point information without series relationship in the series queue P, set the knowledge point node linked list connected between the corresponding course knowledge point information based on the inverse adjacency list, and obtain the parallel relationship by obtaining the position information of the corresponding course knowledge point information in the knowledge point node linked list to which it belongs; Mark the association relationship and parallel relationship between each course knowledge point information in the knowledge graph.

5. The information service system for course business product according to claim 4, wherein The process of constructing a storage graph of course knowledge points corresponding to course business product information includes: Obtain the series-parallel analysis results corresponding to the corresponding course knowledge point information, and set a corresponding knowledge point architecture model according to the marking results of the association relationship and parallel relationship between each course knowledge point information in the knowledge graph; Obtain the course knowledge point information included in the course business product information, perform product segmentation processing according to the course knowledge point information to obtain course product segmentation information, and perform retrieval marking on the course product segmentation information according to the corresponding course knowledge point information; Store each retrieval mark corresponding in the course business product information according to the position information of the knowledge point architecture model to which the corresponding course knowledge point information belongs, set a knowledge point storage space according to the storage result, and construct a course knowledge point storage graph based on the course business product information corresponding to each retrieval mark in the knowledge point storage space.

6. The information service system for course business product according to claim 5, wherein The process of obtaining the service feedback data corresponding to the student user includes: Obtain the course learning information corresponding to the student user and the corresponding student simulation portrait; Perform service quantification analysis on the course learning information according to the student simulation portrait, and set corresponding historical quantification evaluation standard data according to the feature extraction results of the corresponding learning foundation dimension, learning goal dimension, and learning style dimension in the student simulation portrait; Extract features from the learning behavior data, learning interaction data, and learning feedback data corresponding in the course learning information based on the corresponding multi-dimensional information, and obtain the quantification evaluation data corresponding to the corresponding course learning information at the corresponding course knowledge point information; Compare and analyze the obtained quantification evaluation data with the corresponding historical quantification evaluation standard data respectively, obtain the corresponding quantification evaluation deviation data according to the comparison analysis, preset a feedback progressive evaluation link, compare and analyze the quantification evaluation deviation data corresponding to the multi-dimensional information with the feedback progressive evaluation link, and respectively obtain the dimension weight factors corresponding to the corresponding quantification evaluation deviation data; Integrate according to the corresponding dimension weight factor and the corresponding quantification evaluation deviation data to obtain the service feedback data corresponding to the corresponding student user.

7. The information service system for curriculum business product according to claim 6, wherein The process of generating service interaction data includes: Obtain the service feedback data corresponding to the corresponding trainee user, and generate trainee demand data for the multi-dimensional information corresponding to the current course knowledge point information of the trainee user according to the service feedback data; Obtain the course knowledge point information in the course knowledge point storage graph that has series-parallel relationships with the corresponding course knowledge point information, obtain the course business product information corresponding to the retrieval mark of the corresponding course knowledge point information, and obtain the course product segment information corresponding to the retrieval mark of the course business product information; Obtain the historical learning information corresponding to the course product segment information, where the historical learning information is the trainee user portrait data corresponding to other trainee users corresponding to the corresponding course product segment information, set a historical learning information set, analyze and process the historical learning information set, and obtain the learning preference data corresponding to each course product segment information; Perform matching interaction analysis based on the trainee demand data and the learning preference data corresponding to the corresponding course product segment information, and determine whether the corresponding course product segment information meets the needs of the trainee user. If it meets the requirements, set an interaction mark for the corresponding course product segment information; Generate service interaction data from the course product segment information with the interaction mark set.

8. The information service system for course business product according to claim 7, wherein The process of generating the adaptive business product information corresponding to the trainee user includes: Send the obtained service interaction data to the corresponding trainee user account. The corresponding trainee user account makes an independent selection according to the course product segment information corresponding to the interaction mark in the service interaction data, dynamically adjusts and integrates the corresponding course business product information according to the independent selection result of the trainee user, and generates the adaptive business product information corresponding to the trainee user according to the dynamic adjustment and integration result.

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