• DocumentCode
    2643600
  • Title

    Information Retrieval Techniques to Grasp User Intention in Pervasive Computing Environment

  • Author

    Hwang, Myunggwon ; Kim, Pankoo ; Choi, Dongjin

  • Author_Institution
    Korea Inst. of Sci. & Technol. Inf., Daejeon, South Korea
  • fYear
    2011
  • fDate
    June 30 2011-July 2 2011
  • Firstpage
    186
  • Lastpage
    191
  • Abstract
    This paper contains a method to construct context data which can help an application grasp user intention in pervasive computing environment (PCE). There are various devices in which a user is interested for the user intention (intended behavior such as entering, reading and sleeping). And the core of PCE is to provide appropriate services adapted for grasped user intention through processing context information received from device sensors. Therefore, this paper suggests an approach based on co-occurrence and statistical method, kinds of information retrieval technique, to grasp user intention based on diverse device sensors (context information), including both physical and logical objects.
  • Keywords
    information retrieval; statistical analysis; ubiquitous computing; context data; device sensors; information retrieval; pervasive computing environment; statistical method; user intention; Computers; Context; Context modeling; Data mining; Google; Information retrieval; Sensors; Google 5-gram; co-occurrence; context information; information retrieval technique; pervasive computing environment; relatedness; user intention;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2011 Fifth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-61284-733-7
  • Electronic_ISBN
    978-0-7695-4372-7
  • Type

    conf

  • DOI
    10.1109/IMIS.2011.130
  • Filename
    5976184