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7th IEEE International Conference on Computer and Information Technology (CIT 2007)
Ontology Based User Profiling in Personalized Information Service Agent
Aizu-Wakamatsu City, Fukushima, Japan
October 16-October 19
ISBN: 0-7695-2983-6
ASCII Text
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Jianguo Pan, Bofeng Zhang, Shufeng Wang, Gengfeng Wu, Daming Wei, "Ontology Based User Profiling in Personalized Information Service Agent," Computer and Information Technology, International Conference on, pp. 1089-1093, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/CIT.2007.63,
author = {Jianguo Pan and Bofeng Zhang and Shufeng Wang and Gengfeng Wu and Daming Wei},
title = {Ontology Based User Profiling in Personalized Information Service Agent},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2983-6},
pages = {1089-1093},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2007.63},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Ontology Based User Profiling in Personalized Information Service Agent
SN - 0-7695-2983-6
SP1089
EP1093
A1 - Jianguo Pan,
A1 - Bofeng Zhang,
A1 - Shufeng Wang,
A1 - Gengfeng Wu,
A1 - Daming Wei,
PY - 2007
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Jianguo Pan, Shanghai University, Shanghai, 200072 China
Bofeng Zhang, Shanghai University, Shanghai, 200072 China
Shufeng Wang, Shanghai University, Shanghai, 200072 China
Gengfeng Wu, Shanghai University, Shanghai, 200072 China
Daming Wei, Shanghai University, Shanghai, 200072 China
Personalized information service agents have emerged in the recent years to help users to cope with the increasing amount of information available on the Internet. The effectiveness of agents depends mainly on profile completeness and accuracy. In the existing agents, although the performance of these systems improves after learning a user profile, it is difficult to share user profile and adapt user profile to user inter- ests. In order to solve these problems in agents, we present ontology based user profiling methods. The approaches in user profiling, such as representation, acquisition, learning, adaptation and re-ranking, are discussed. Moreover, a personalized information ser- vice agent is designed based on these approaches, and the performance of agent is evaluated.
Citation:
Jianguo Pan, Bofeng Zhang, Shufeng Wang, Gengfeng Wu, Daming Wei, "Ontology Based User Profiling in Personalized Information Service Agent," cit, pp.1089-1093, 7th IEEE International Conference on Computer and Information Technology (CIT 2007), 2007
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