Presentation	2009-11-20 Development of information retrieval and filtering technology for inferring user interest Yukio UEMATSU, Kazuo MOGI, Fumihiko SAWAGUCHI,
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Abstract(in English)	While internet growing rapidly, information access is an essential technology for accessing internet and other web data. Inferring user interest is one of the most important task to effectively utilize such a enormous amount of data. In our project, we focus on detecting, profiling and using user context for information access especially information retrieval and recommender systems. In this paper we introduce our approach and examples of our recommender system.
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Keyword(in English)	Information access / Recommender system / Information retrieval
Paper #	DE2009-32
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Conference Information
Committee	DE
Conference Date	2009/11/12(1days)
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Paper Information
Registration To	Data Engineering (DE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Development of information retrieval and filtering technology for inferring user interest
Sub Title (in English)
Keyword(1)	Information access
Keyword(2)	Recommender system
Keyword(3)	Information retrieval
1st Author's Name	Yukio UEMATSU
1st Author's Affiliation	Innovative IP Architecture Center, NTT Communications Corporation()
2nd Author's Name	Kazuo MOGI
2nd Author's Affiliation	Innovative IP Architecture Center, NTT Communications Corporation
3rd Author's Name	Fumihiko SAWAGUCHI
3rd Author's Affiliation	Innovative IP Architecture Center, NTT Communications Corporation
Date	2009-11-20
Paper #	DE2009-32
Volume (vol)	vol.109
Number (no)	293
Page	pp.pp.-
#Pages	3
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