您当前的位置：
首页 >
文章列表页 >
Research on Visualization Recommendation Method Based on Translation Embedding Model
更新时间：2024-11-19
|

    • Research on Visualization Recommendation Method Based on Translation Embedding Model

    • “In the field of data visualization, researchers have proposed a new method based on knowledge graph embedding model, which learns entity and relationship embeddings through sTransH model and effectively infers visualization design choices.”
    • Software Guide   Vol. 23, Issue 11, Pages: 32-38(2024)

    • DOI：10.11907/rjdk.232199    

      CLC： TP399

    • Received：23 November 2023，

      Published：15 November 2024

    移动端阅览

  • ZHANG Xiaorong,LIU Qipeng,LIAO Jing,et al.Research on Visualization Recommendation Method Based on Translation Embedding Model[J].Software Guide,2024,23(11):32-38. DOI： 10.11907/rjdk.232199.

  •  
  •  

0

Views

140

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

Simulation Research of IoT ALOHA Algorithm Based on Python Anaconda
A Recommendation Method for Interactive Students in Class Based on Expression Vector Clustering
Implementation and Analysis of Drug Safety Public Opinion Based on Data Middle Platform
Mixed Classroom Learning Behavior Portrait and Intervention of Introduction to Computer Course

Related Author

WANG Ning
GUO Liqing
YANG Qunwei
LI Yingxia
CHEN Hongqian
ZHANG Yunliang
LI Hui
LIANG Guoquan

Related Institution

Information Communication Technology and Smart Education of Fujian Engineeing Research Center
General Education Center， Xiamen Huaxia University
School of Information and Intelligent Mechatronics， Xiamen Huaxia University
School of Computer Science and Technology， Beijing Technology and Business University
Management College， Beijing Union University
0