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A Model for Computing User’s Preference Based on EP Algorithm

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 670)

Abstract

In this paper, we address the problem of identifying target user through the model of computing user preference for a certain item or service. The model we present works for a specific domain through online behavior analysis which considers user’s attentiveness of the entire area and the specific item combination style combining features of the specific industry. The model is evaluated by predicting users’ behavior and advertising click-through rate in the real application environment. The results show that this model is successful in precision recommendation, especially for the dynamic data analysis.

Keywords

Data mining Accurate marketing Target user identification 

Notes

Acknowledgements

This work was partially supported by GDNSF fund (2015A030313782), SUSTech Starup fund (Y01236215), SUSTech fund (05/Y01051814, 05/Y01051827, 05/Y01051830, and 05/Y01051839).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shan Jiang
    • 1
  • Zongwei Luo
    • 1
  • Zhiyun Huang
    • 2
  • Jinqun Liu
    • 2
  1. 1.Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhenChina
  2. 2.Shenzhen Aotain Technology Co., LtdShenzhenChina

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