您当前的位置:
首页 >
文章列表页 >
Hybrid Recommendation Algorithm Based on Multi-source Data Clustering and Singular Value Decomposition
更新时间:2022-12-27
    • Hybrid Recommendation Algorithm Based on Multi-source Data Clustering and Singular Value Decomposition

    • Software Guide   Vol. 21, Issue 11, Pages: 75-81(2022)
    • DOI:10.11907/rjdk.212553    

      CLC:

    扫 描 看 全 文

  • LIU Wei-you,WU Chen.Hybrid Recommendation Algorithm Based on Multi-source Data Clustering and Singular Value Decomposition[J].Software Guide,2022,21(11):75-81. DOI: 10.11907/rjdk.212553.

  •  
  •  

0

Views

4

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

Research on Personalized Recommendation of Music Platform Based on DB-CF Algorithm
Hybrid Collaborative Filtering Recommendation Algorithm Based on Dynamic Time Weight
Collaborative Filtering Recommendation Algorithm Based on Fuzzy Clustering and User Interest
Drug Recommendation Algorithm Integrating Knowledge Graph and Collaborative Filtering
Improved Collaborative Filtering Recommendation Method Combined with CatBoost

Related Author

No data

Related Institution

College of Mining Safety and Engineering, Shandong University of Science and Technology
College of Computer Science and Engineering, Shandong University of Science and Technology
School of Computer Science and Technology, Henan Polytechnic University
School of Science, Jiangxi University of Science and Technology
School of Internet of Things, Nanjing University of Posts and Telecommunications
0