Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 76-79.

• Intelligent Computing • Previous Articles     Next Articles

Prediction Model of E-sports Behavior Pattern Based on Attention Mechanism and LRUA Module

YU Cheng1, ZHU Wan-ning1, YOU Kun1, ZHU Jin-fu2   

  1. (Department of Software Engineering,Jinling Institute of Technology,Nanjing 211169,China)1;
    (Communication University of China,Nanjing 211172,China)2
  • Online:2019-11-10 Published:2019-11-20

Abstract: With the development of e-sports industry,it is more and more important to analyze data accurately and quickly.This paper studied the prediction of e-sports behavior pattern .From the perspective of measurement learning,the model inaccuracy of the prediction of e-sports behavior pattern caused by different evaluation scales of teams is improved by introducing modified cosine measure instead of cosine measure.Meanwhile,in order to further improve the accuracy of the model,this paper started from the characteristics of the data in this paper.Considering that this paper pays more attention to the content of data,LRUA module is introduced for memory access.Experiments show that the proposed model has high accuracy and low volatility.

Key words: Behavioral model prediction, Esports, Matching networks, Meta-learning, Metric learning

CLC Number: 

  • TP18
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