• DocumentCode
    2118698
  • Title

    Social Recommendations for Location-Based Services

  • Author

    Emrich, Andreas ; Chapko, A. ; Werth, Dirk ; Loos, Peter

  • Author_Institution
    Inst. for Inf. Syst. (IWi), German Res. Center for Artificial Intell. (DFKI), Saarbrucken, Germany
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    287
  • Lastpage
    291
  • Abstract
    This paper introduces a preliminary approach and evaluation for a social recommendation mechanism for location-based services (LBS). Many approaches for recommending location-based services do not take into account other factors than spatial ones. This paper focuses on social interactions and a focused ranking method to support social recommendations. The qualitative and quantitative evaluation at the end of the paper demonstrates, that users find social recommendations more useful than the conventional ones.
  • Keywords
    mobile computing; recommender systems; social networking (online); LBS; location-based services; qualitative evaluation; quantitative evaluation; ranking method; social interactions; social recommendation mechanism; Mobile recommender systems; community-based services; point of interest; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.238
  • Filename
    6511898