• DocumentCode
    1626185
  • Title

    Genetic based approach to improve E-Commerce web site usability

  • Author

    Mary, S. Prince ; Baburaj, E.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Sathyabama Univ., Chennai, India
  • fYear
    2013
  • Firstpage
    395
  • Lastpage
    399
  • Abstract
    Nowadays, an ever- growing use of the internet has been greatly affecting the significance of E-Commerce web sites. To assist clients in searching the products they need, recommendation systems are implemented in E-Commerce web sites. A recommendation system should also provide necessary information to clients about the products that they might be interested in. An algorithm is proposed here to make the E-Commerce websites more flexible and highly usable.
  • Keywords
    Web sites; data mining; electronic commerce; Internet; Web site usability; e-commerce Web site; electronic commerce; genetic based approach; Navigation; Servers; Genetic Algorithm; Informative Rule; Preprocessing; Recommendation Tree; Web Log;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing (ICoAC), 2013 Fifth International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3447-8
  • Type

    conf

  • DOI
    10.1109/ICoAC.2013.6921983
  • Filename
    6921983