• DocumentCode
    3706786
  • Title

    Personalized E-Advertisement and Experience: Recommending User Targeted Ads

  • Author

    Dana A. Al Qudah;Alexandra I. Cristea;Suncica Hadzidedic Bazdarevic;Samar Al-Saqqa;Ali Rodan;Wei Yang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK
  • fYear
    2015
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Personalized e-advertising is the art of attracting users´ attention by correlating to their tastes and interests. The evolving research of adaptive hypermedia with its techniques and theories contributed to the personalization field. This paper reports the case study of "My Ads", an adaptive e-advertisement delivery system that is based on a new theoretical framework, to evaluate users´ acceptance of personalized ads. The results indicated that the implemented features within the system contributed to an enhanced experience through the exposure to different personalization methods and the appealing ideas of the system.
  • Keywords
    "Adaptation models","Adaptive systems","Advertising","Data models","History","Standards"
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering (ICEBE), 2015 IEEE 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICEBE.2015.19
  • Filename
    7349945