• DocumentCode
    3585810
  • Title

    Ads-In Site: Location based advertising framework with social network analyzer

  • Author

    Perera, A.A.G.A.K. ; Jayarathne, R.P.E.T. ; Thilantha, B.Y. ; Kalupahana, S.I.G. ; Haddela, P.S. ; Kirupananda, A. ; Edirisinghe, E.A.T.D.

  • Author_Institution
    Dept. of Inf. Technol., Sri Lanka Inst. of Inf. Technol., Malabe, Sri Lanka
  • fYear
    2014
  • Firstpage
    116
  • Lastpage
    123
  • Abstract
    Social networks contain a vast amount of data that holds very valuable information and is nowadays identified as a very effective source in marketing. The content of social networks can be used to identify the business needs and preferences of people. This research is carried out with the aim of providing suitable advertisements for people based on their preferences by analysing their social network content. Users´ demographic details are also considered in providing suitable advertisements of the shops that are most conveniently located for a particular user. The primary goal of this research is to build an advertisement framework that supports targeted advertising by analysing social network content. The information extracted by analysing the content of social networks is used to predict the advertisement categories that interest a particular user. The framework applies location based services to filter advertisements based on the location of the shop.
  • Keywords
    advertising data processing; mobile computing; social networking (online); ads-in site; advertisement category prediction; advertisement filtering; business needs; location based advertising framework; location based services; marketing; social network content analysis; user demographic details; Location based Services; Social Networks; Support Vector Machines; Target Advertising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on
  • Print_ISBN
    978-1-4799-7731-4
  • Type

    conf

  • DOI
    10.1109/ICTER.2014.7083889
  • Filename
    7083889