您当前的位置：
首页 >
文章列表页 >
Time-Series Graph Course Recommendation Algorithm Integrating Multiple Temporal Patterns
Computer Software and Theory | 更新时间：2026-01-27

    • Time-Series Graph Course Recommendation Algorithm Integrating Multiple Temporal Patterns

    • “In the field of educational technology, researchers have proposed a temporal graph model that integrates multiple temporal relationships, fully utilizing temporal features to improve the accuracy of course recommendation representation and provide a new solution for personalized learning recommendation systems.”
    • Software Guide   Vol. 25, Issue 1, Pages: 54-62(2026)

    • DOI：10.11907/rjdk.241788    

      CLC： TP391.3

    • Received：22 October 2024，

      Published：15 January 2026

    移动端阅览

  • ZHANG Wei,ZHOU Xuchen,ZENG Xinyao,et al.Time-Series Graph Course Recommendation Algorithm Integrating Multiple Temporal Patterns[J].Software Guide,2026,25(01):54-62. DOI： 10.11907/rjdk.241788.

  •  
  •  

0

Views

1

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Recommendation Algorithm for Mining Potential Preference Graph Based on Graph Neural Network
Research on Review Text Based Self-adaptive Feature Extraction Recommendation
FY-4A Precipitation Estimation Method Based on Deep Learning
A Deep Learning Tongue Image Segmentation Model for Traditional Chinese Medicine Diagnosis and Treatment
Customs Fraud Detection Algorithm Based on Ensemble Learning and Multi-head Attention Mechanism

Related Author

FANG Linfeng
ZHOU Renjie
Hai-xing HU
Yi-gui WANG
Wei-hua YUAN
Zhi-jun ZHANG
Qian-qian QIN
ZHANG Mingliang

Related Institution

School of Computer Science， Hangzhou Dianzi University
School of Computer Science and Technology, Shandong Jianzhu University
School of Computer Science， Chengdu University of Information Technology
National Meteorological Center
School of Information Science and Engineering，Hunan Normal University
0