Presentation	2003/9/8 Discovery of Web user communities from Web audience measurement data Tsuyoshi Murata,
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Abstract(in English)	The author has been working on the methods for discovering sets of related Web pages (Web communities). It is expected that groups of people who watch such pages (user communities) also exist. Discovering such user communities and analyzing them are important for clarifying the behaviors of Web audiences of similar tastes, and detecting dynamic changes of the communities is expected to discover trends of real human society. The ultimate goal of this paper is to discover such human communities. In order to achieve this, we focus on log data of Web audiences' behaviors (Web audience measurement data) and discuss methods for discovering user communities using the data.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Web user community / Web audience measurement data / discovery
Paper #	AI2003-51
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Conference Information
Committee	AI
Conference Date	2003/9/8(1days)
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Paper Information
Registration To	Artificial Intelligence and Knowledge-Based Processing (AI)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Discovery of Web user communities from Web audience measurement data
Sub Title (in English)
Keyword(1)	Web user community
Keyword(2)	Web audience measurement data
Keyword(3)	discovery
1st Author's Name	Tsuyoshi Murata
1st Author's Affiliation	National Institute of Informatics:Japan Science and Technology Corporation()
Date	2003/9/8
Paper #	AI2003-51
Volume (vol)	vol.103
Number (no)	305
Page	pp.pp.-
#Pages	5
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