Computer Science

Computer Science ›› 2026, Vol. 53 ›› Issue (6): 93-101.doi: 10.11896/jsjkx.250600154

• Intelligent Education Technology • Previous Articles     Next Articles

Personalized Course Recommendation System Based on Knowledge Graph

ZHAO Lei1,2, YANG Yulu1, YUAN Bo1   

  1. 1 College of Information,Xi'an University of Finance and Economics,Xi'an 710100,China
    2 Key Laboratory of Intelligent Finance Collaborative and Trusted Computing Higher Education Institutions in Shaanxi Province,Xi'an 710100,China
  • Received:2025-06-22 Revised:2025-09-12 Online:2026-06-15 Published:2026-06-09
  • About author:ZHAO Lei,born in 1981,Ph.D,associate professor,master's supervisor.Her main research interests include know-ledge graph and recommendation system.
    YANG Yulu,born in 2002,postgra-duate.Her main research interest is knowledge graph.
  • Supported by:
    2024 Graduate Innovation Fund Project of Xi'an University of Finance and Economics(23YC035).

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Abstract: As online learning platforms and course content multiply,users struggle to choose from a sea of information.Existing recommendation models,failing to fully exploit user-course interaction info,deviate from users' real needs,harming learning experience and resource-matching efficiency.To address this,IKGCN(Interactive Knowledge Graph Convolutional Network),a graph neural network recommendation model based on enhanced info representation,is proposed.It builds a course knowledge graph and a user-course interaction graph.Using a gating mechanism,it identifies and integrates complementary info from these two graph structures,fusing dual info dimensions deeply.This enables effective capture of user behavior dynamics,boosting course semantic representation accuracy and recommendation system intelligence.Experiments show IKGCN outperforms traditional baselines:recall rate and NDCG rise by 4.84% and 9.22% respectively,validating its effectiveness in optimizing online education recommendations.

Key words: Online education, User interaction information, Graph neural network, Course recommendation, Knowledge graph

CLC Number: 

  • TP391
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