您当前的位置:
首页 >
文章列表页 >
A CTR Prediction Model Based on Historical Behavior and High-Low-Order Features
更新时间:2023-05-29
    • A CTR Prediction Model Based on Historical Behavior and High-Low-Order Features

    • Software Guide   Vol. 22, Issue 5, Pages: 7-13(2023)
    • DOI:10.11907/rjdk.221675    

      CLC:

    扫 描 看 全 文

  • WANG Kai,SHEN Yan.A CTR Prediction Model Based on Historical Behavior and High-Low-Order Features[J].Software Guide,2023,22(05):7-13. DOI: 10.11907/rjdk.221675.

  •  
  •  

0

Views

27

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

Multi-Object Tracking with Cross-Spatial Feature Association Based on Transformer
Point Cloud Registration Algorithm Based on Offset Cross Attention
Research on Lightweight Remote Sensing Image Semantic Segmentation Method Based on Multilayer Perceptron
Image Compression Sensing Reconstruction Based on Multi-Scale Feature Fusion
Engagement Detection Based on Spatio-Temporal Attention Mechanism for Online Education

Related Author

No data

Related Institution

School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications
Guangxi Key Laboratory of Embedded Technology and Intelligent Systems
College of Information Science and Engineering, Guilin University of Technology
School of Intelligent Technology and Engineering, Chongqing University of Science and Technology
School of Computer Science, Nanjing University of Information Science and Technology
0