Multifeedback behavior-based interest modeling network for adaptive click-through rate prediction

HIGHLIGHTS

• who: Adaptive Click-Through Rate Prediction and collaborators from the Liaoning Technical University, Fuxin, China have published the research: Multifeedback Behavior-Based Interest Modeling Network for Adaptive Click-Through Rate Prediction, in the Journal: Mobile Information Systems of 29/08/2022
• what: In this paper a unified multitype user behavior sequence modeling framework named as MBIN a.k.a. multifeedback behavior-based Interest modeling network is proposed to cope with uncertainties in the noisy data. The authors focus on user behavior sequence modeling, and the difficulty lies in how to extract more accurate user interests . . .
  

   

  

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