English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3937829      在线人数 : 884
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/17389

    题名: A Trend-based Prediction System for Web User Behavior
    作者: Jan, Nien-yi;Lin, Shun-chieh;Lin, Nancy P.;Chang, Chung-I
    贡献者: 淡江大學資訊工程學系;軍訓室
    关键词: Trend similarity;Prediction system;Web mining;User behavior;Sequence mining
    日期: 2008-01
    上传时间: 2013-06-07 10:45:10 (UTC+8)
    出版者: Athens: World Scientific and Engineering Academy and Society
    摘要: Since web applications make great progress, the latency of Internet owing to the network bandwidth becomes an urge problem in the cyber world. It is very important to deliberate on how to construct a prediction model to predict web users traveling path for adapting the website structure and improving the website performance. A trend based prediction model without extra information is proposed in this paper to generate prediction models with a sequence of pages for a proxy server prefetcting the suitable pages. The trend similarity is the core of our proposed model which considers not only the page similarity but also position similarity. Two measures include page correctness rate and order correctness rate are proposed to evaluate accuracy of our prediction system.
    關聯: WSEAS Transactions on Advances in Engineering Education 5(1), pp.52-59
    显示于类别:[資訊工程學系暨研究所] 期刊論文


    档案 大小格式浏览次数
    A Trend-based Prediction System for Web User Behavior.html0KbHTML29检视/开启



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈