• DocumentCode
    3028837
  • Title

    Web navigation analysis and simulation using Ant Colony Optimization

  • Author

    Jinhirunkul, Ekachai ; Sophatsathit, Peraphon

  • Author_Institution
    Dept. of Math., Chulalongkorn Univ., Bangkok
  • fYear
    2009
  • fDate
    10-12 Feb. 2009
  • Firstpage
    595
  • Lastpage
    600
  • Abstract
    This paper utilizes the Ant Colony Optimization algorithm to explore an unknown Web site, mapping its structure and navigation routing so that accessibility and performance information can be attained. The investigation will also unveil changing structure of the Web site adaptively such as new links, removed links, and unreachable links. As a consequence, coverage of all reachable nodes within the designated Web site can be obtained, along with essential performance statistics to reflect near optimal accessible paths to any given node in the web site. By virtue of the simplicity of the Ant Colony Optimization algorithm, some straightforward mapping techniques were employed to entail opportunistic commercialization of the proposed algorithm.
  • Keywords
    Internet; Web sites; optimisation; Web navigation analysis; Web navigation simulation; Web site; straightforward mapping techniques; Algorithm design and analysis; Analytical models; Ant colony optimization; Computational modeling; Information analysis; Intelligent robots; Mathematics; Navigation; Performance analysis; Web page design; Ant Colony Optimization; Web agent; Web navigation; Web structure analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
  • Conference_Location
    Wellington
  • Print_ISBN
    978-1-4244-2712-3
  • Electronic_ISBN
    978-1-4244-2713-0
  • Type

    conf

  • DOI
    10.1109/ICARA.2000.4803908
  • Filename
    4803908