• DocumentCode
    660879
  • Title

    Social Network Based Recommendation Systems: A Short Survey

  • Author

    Song Chen ; Owusu, Samuel ; Zhou, Liang

  • Author_Institution
    Dept. of Inf. Syst., Univ. of Maryland, Baltimore County, Baltimore, MD, USA
  • fYear
    2013
  • fDate
    8-14 Sept. 2013
  • Firstpage
    882
  • Lastpage
    885
  • Abstract
    This paper examines the background of the recommender systems and the state-of-art technologies in this current research area. We examined the needs for recommendation systems and the enhanced performance by using the additional social network information. We compared different types of social network information and how they are used to improve the recommendation systems with a few examples. We also discussed different evaluation methods that are important to measure the performances of a recommendation system. We concluded that the recommendation system is a very important research area and could be applied in many domains. We summarized different measures towards evaluating a recommendation system especially those incorporating the social network information.
  • Keywords
    recommender systems; social networking (online); social network based recommendation systems; social network information; state-of-art technologies; Accuracy; Bayes methods; Collaboration; Measurement; Prediction algorithms; Recommender systems; Social network services; Algorithms; Artificial Intelligence; Recommendation Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Computing (SocialCom), 2013 International Conference on
  • Conference_Location
    Alexandria, VA
  • Type

    conf

  • DOI
    10.1109/SocialCom.2013.134
  • Filename
    6693431