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논문검색

A New Prediction Model Based on Web Access Behavior

초록

영어

In order to predict network users’ access behavior accurately, this paper proposes a new prediction model based on Web access behavior. To improve prediction performance and reduce the state-space complexity, the model uses hybrid-order Markov chain structure and stores the sequences which share the same prefix. The problems that lower-order models have poor prediction performance and higher-order models result in high state-space complexity are solved in this paper. Simulation results have shown that the prediction model based on Web access behavior can improve the precision and recall to some extent.

목차

Abstract
 1. Introduction
 2. NPM Model
 3. Simulations and Results Analysis
  3.1 Performance Parameters
  3.2 Results and Analysis
 4. Summary
 References

저자정보

  • Haiqin Ye School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China
  • Huan Li School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China
  • Ailing Zhang Automation station, Anyang, China

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