Correction to: Advanced lightweight feature interaction in deep neural networks for improving the prediction in click through rate

被引:0
|
作者
Kalaivaani P C D
V. E. Sathishkumar
Wesam Atef Hatamleh
Kamel Dine Haouam
B. Venkatesh
Dirar Sweidan
机构
[1] Kongu Engineering College,Department of Computer Science and Engineering
[2] Sunchon National University,Department of Information and Communication Engineering
[3] King Saud University,Department of Computer Science, College of Computer and Information Sciences
[4] Vignan’s Foundation for Science,Department of Computer Science and Engineering
[5] Technology and Research (Deemed to be University),School of Informatics
[6] University of Skövde,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1207 / 1207
相关论文
共 50 条
  • [11] Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction
    Min, Erxue
    Luo, Da
    Lin, Kangyi
    Huang, Chunzhen
    Liu, Yang
    PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, 2023, : 4661 - 4672
  • [12] FiBiNET: Combining Feature Importance and Bilinear Feature Interaction for Click-Through Rate Prediction
    Huang, Tongwen
    Zhang, Zhiqi
    Zhang, Junlin
    RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, 2019, : 169 - 177
  • [13] Click-Through Rate Prediction Combining Mutual Information Feature Weighting and Feature Interaction
    Wang, Xiaowei
    Dong, Hongbin
    Han, Shuang
    IEEE ACCESS, 2020, 8 (08): : 207216 - 207225
  • [14] Click-through rate prediction model based on a deep neural network
    Liu, Hong-Li
    Wu, Sen
    Wei, Gui-Ying
    Li, Xin
    Gao, Xiao-Nan
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2022, 44 (11): : 1917 - 1925
  • [15] Deep Field Relation Neural Network for click-through rate prediction
    Zou, Dafang
    Wang, Zidong
    Zhang, Leimin
    Zou, Jinting
    Li, Qi
    Chen, Yun
    Sheng, Weiguo
    INFORMATION SCIENCES, 2021, 577 : 128 - 139
  • [16] DRIN: Deep Recurrent Interaction Network for click-through rate prediction
    Jun, Xie
    Xudong, Zhao
    Xinying, Xu
    Xiaoxia, Han
    Jinchang, Ren
    Xingbing, Li
    INFORMATION SCIENCES, 2022, 604 : 210 - 225
  • [17] Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction
    Song, Qingquan
    Cheng, Dehua
    Zhou, Hanning
    Yang, Jiyan
    Tian, Yuandong
    Hu, Xia
    KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 945 - 955
  • [18] Feature embedding in click-through rate prediction
    Pahor, Samo
    Kopic, Davorin
    Demsar, Jure
    ELEKTROTEHNISKI VESTNIK, 2023, 90 (03): : 75 - 89
  • [19] GAIN: A Gated Adaptive Feature Interaction Network for Click-Through Rate Prediction
    Liu, Yaoxun
    Ma, Liangli
    Wang, Muyuan
    SENSORS, 2022, 22 (19)
  • [20] Feature embedding in click-through rate prediction
    Pahor, Samo
    Kopič, Davorin
    Demšar, Jure
    Elektrotehniski Vestnik/Electrotechnical Review, 2023, 90 (03): : 75 - 89