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