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
Link To Document :
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