• DocumentCode
    2785733
  • Title

    Website Structure Optimization System Model and Algorithms

  • Author

    Cheng, Shutong ; Xu, Congfu ; Dan, Hongwei

  • Author_Institution
    Hangzhou Acad. of Sci. Prof. Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    117
  • Lastpage
    121
  • Abstract
    Website structure optimization is of great research value and practical significance and has drawn public attention of researchers at home and abroad. This article has carried out in-depth analysis of the system model of the website structure optimization and its characteristics at each phase and adopts specific algorithm against main phases of this system model. Such algorithm can be divided into three steps, namely, generating frequent closed sequential pattern, adopting hierarchical clustering for the frequent closed sequential pattern and generating partial order based on the clustering result. This article has given full description of algorithms for various steps. In conclusion, the article has put forward feasibility proposals for website structure optimization in the form of experimental results. Its purpose is optimize link functions in order to reduce clicking of "unnecessary" pages by users.
  • Keywords
    Web sites; optimisation; Website structure optimization system algorithms; Website structure optimization system model; adopting hierarchical clustering; frequent closed sequential pattern; Algorithm design and analysis; Analytical models; Clustering algorithms; Data mining; Data models; Optimization; Web sites; Website structure optimization; frequent close sequence; hierarchical clustering; partial order;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.324
  • Filename
    6113705