• DocumentCode
    2868730
  • Title

    A Service Recommended Model Based on User Scenario Using Fusion Context-Awareness

  • Author

    Kim, Svetlana ; Song, Sumi ; Yoon, YongIk

  • Author_Institution
    Dept. of Multimedia Sci., Sookmyung Women´´s Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    306
  • Lastpage
    310
  • Abstract
    Today, the device that used repeatedly is smart phone during your daily life continued. In addition, the smart phones can be equipped with various sensors. These features are take advantage of the smart phone. So we propose the more efficient and proactive service model than now. This model is gathering the various information of user with smart phone. Then, the information collected is made to the scenario depending on time, location, action based on the Fusion process. This paper is proposed a service recommendation model based on user scenario using Fusion context-aware. This model is the making user-scenario based on context-aware. The scenarios can help predict a user´s situation and provide the services in advance. Also, content categories as well as the content type are determined depending on the scenario. The scenario is a method for providing the best services as well as simply judgment for user´s situation. Using this method the proposing new service model with context-aware is the goal of this paper.
  • Keywords
    mobile computing; mobile handsets; sensor fusion; context-awareness fusion; proactive service model; smart phone; user scenario based service recommended model; Context; Context-aware services; Intelligent sensors; Internet; Mobile communication; Smart phones; Context-Aware; Scenario; Smart Servic; Smart phone; User Behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering (MUE), 2011 5th FTRA International Conference on
  • Conference_Location
    Loutraki
  • Print_ISBN
    978-1-4577-1228-9
  • Electronic_ISBN
    978-0-7695-4470-0
  • Type

    conf

  • DOI
    10.1109/MUE.2011.62
  • Filename
    5992217