• DocumentCode
    673206
  • Title

    Recommendation engine: Matching individual/group profiles for better shopping experience

  • Author

    Kulkarnil, Sanjeev ; Sankpal, Ashok M. ; Mudholkar, Ravindra R. ; Kumari, Kiran

  • Author_Institution
    Dept. of MCA, AITM, Belgaum, India
  • fYear
    2013
  • fDate
    21-22 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Research is a conceptual analysis of application of Sensors, Mobiles and Social Network for real world usage scenarios impacting our quality of life and lifestyle. This paper presents enhancing a person or group´s shopping experience in store powered by integration of mobiles, sensors and social network. Matching profiles of individual or group for better shopping experience.
  • Keywords
    mobile computing; pattern matching; recommender systems; retail data processing; sensors; social networking (online); individual-group profiles matching; mobile application; recommendation engine; sensor application; shopping experience; social network; Internet; Mobile communication; Mobile computing; Mobile handsets; Motion pictures; Sensors; Social network services; Collaborative Recommendations; Content based Recommendations; Individual/ or Group Preferences; Profile Matching; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing Technologies (ICACT), 2013 15th International Conference on
  • Conference_Location
    Rajampet
  • Print_ISBN
    978-1-4673-2816-6
  • Type

    conf

  • DOI
    10.1109/ICACT.2013.6710501
  • Filename
    6710501