A dual adaptive interaction click-through rate prediction based on attention logarithmic interaction network

HIGHLIGHTS

  • who: Shiqi Li and collaborators from the School of Computer and Control Engineering, Yantai University, Yantai, China have published the research work: A Dual Adaptive Interaction Click-Through Rate Prediction Based on Attention Logarithmic Interaction Network, in the Journal: Entropy 2022, 24, 1831 Entropy 2022, 24, x FOR PEER REVIEW of /2022/
  • what: To solve these problems, the authors propose a novel model called the attention logarithmic network (ALN), which can adaptively model arbitrary-order feature interaction and learn the importance of high-order feature interaction. The authors implement the proposed model using Pytorch. The . . .

     

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