Presentation	1997/7/16 Information Filtering on the Internet Using Dynamic Clustering with Domain Knowledge Noriaki Horii, Kuniaki Uehara,
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Abstract(in English)	As more information becomes available on the internet, information filtering becomes increasingly important tool for gathering the desired information. In particular, there is a need for technique to deal with dynamic information because the contents of information on the internet are altered over time. In this paper, we will propose personalized information filtering that retrieves interesting information based on a conceptual tree in which similar information are located closely. For building of the conceptual tree, our prototype system employs dynamic clustering depending on domain knowledge. Additionally, domain knowledge is gradually updated by learning from failure using interaction with user, and thus the conceptual tree vary with both a change of information and user's preference.
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Paper #	DE97-53
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Committee	DE
Conference Date	1997/7/16(1days)
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Registration To	Data Engineering (DE)
Language	JPN
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Title (in English)	Information Filtering on the Internet Using Dynamic Clustering with Domain Knowledge
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1st Author's Name	Noriaki Horii
1st Author's Affiliation	Department of Computer and Systems Engineering, Faculty of Engineering, Kobe University()
2nd Author's Name	Kuniaki Uehara
2nd Author's Affiliation	Research Center for Urban Safety and Security, Kobe University
Date	1997/7/16
Paper #	DE97-53
Volume (vol)	vol.97
Number (no)	162
Page	pp.pp.-
#Pages	6
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