2025 Vol.8 Jun.N03

• Title: Design of Intelligent Recommendation System for Industry-Education Integration Curriculum Resources Based on Knowledge Graph
• Name: Xiang Hua, WenWen Wang
• Company: Academic Affairs Office, Changchun University of Finance and Economics, Changchun, 130000,China
• Abstract:

  :For new students or new course resources, traditional recommendation systems often have difficulty providing effective recommendations. Therefore, an intelligent recommendation system for industry-education integration course resources based on knowledge graphs is designed. A unique calculation formula for the amount of resource integration is proposed. Considering the quantity of resources, storage capacity, and the amount of resources that can be stored in the horizontal and vertical directions comprehensively, the knowledge graph embedding technology is applied to encode the learning resource graph and establish the calculation equation. The improved collaborative filtering algorithm with the introduction of popular penalty terms is used to design the teaching resource recommendation mechanism and calculate the differences in preference scores among different learners. Predict the ratings of the resources to be recommended and generate the recommendation list. The experimental results show that the concurrent response time of the proposed system is all less than 250ms, the F1 value and AUC value are both relatively high, and the recommendation efficiency is higher.

  
  

• Keyword: Knowledge graph; Integration of industry and education; Course resources; Intelligent Recommendation System
• DOI: 10.12250/jpciams2025090603
• Citation form: Xiang Hua,WenWen Wang.Design of Intelligent Recommendation System for Industry-Education Integration Curriculum Resources Based on Knowledge Graph[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.11-15

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