Ontology Based User Profiling in Personalized Information Service Agent

Aizu-Wakamatsu City, Fukushima, Japan October 16-October 19

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http://doi.ieeecomputersociety.org/10.1109/CIT.2007.63

7th IEEE International Conference on ...

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	ASCII Text	x
	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	x
	@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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