首页> 中文期刊> 《价值工程》 >CACER: A Novel E-commerce Recommendation Model Based on Crazy Ant Colony Algorithms

CACER: A Novel E-commerce Recommendation Model Based on Crazy Ant Colony Algorithms

         

摘要

In order to deal with the problems of E-commerce online marketing, a novel E-commerce recommendation system model was given to lead consumers to efficient retrieval and consumption. And the system model was built with a crazy ant colony algorithm. Then its model, message structures and working flows were presented as following. At last, an application example and compared results were given to be analyzed. Simulation results show the model can perform better in real-time and customer satisfaction than the olds do.

著录项

  • 来源
    《价值工程》 |2013年第32期|10-14|共5页
  • 作者

    WANG Zheng; LIU Qing-qiang;

  • 作者单位

    School of Economic Information Engineering;

    Southwest University of Finance and Economics;

    Chengdu 610074;

    China;

    Dept. of Electric Information Engineering;

    Northeast Petroleum University;

    Daqing 163318 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 计算机网络;
  • 关键词

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