Presentation 2010-01-26
A Study on "Find", the Non-popular Masterpiece Discovery System : 1st Report
Tarou TAKAGI,
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Abstract(in English) This paper introduces the non-popular masterpiece discovery system "Find", developed by the author, and also describes its goal and approach. Find is a recommendation system of literal, music, cartoon, movie, and other works, and uniquely executes user profiling referring affinity input from each users for each works. Find can recommend works matching to users independently from the majority of each works, and can register new works into the database automatically. Therefore, it is expected for a powerful work circulation means for the future, in which individual Internet-assisted work presentation spreads widely.
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Keyword(in English) Non-popular Masterpiece / Work Circulation / Recommendation / Profiling / Clustering
Paper # NLC2009-48
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Conference Information
Committee NLC
Conference Date 2010/1/18(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on "Find", the Non-popular Masterpiece Discovery System : 1st Report
Sub Title (in English)
Keyword(1) Non-popular Masterpiece
Keyword(2) Work Circulation
Keyword(3) Recommendation
Keyword(4) Profiling
Keyword(5) Clustering
1st Author's Name Tarou TAKAGI
1st Author's Affiliation Imageom Corporation()
Date 2010-01-26
Paper # NLC2009-48
Volume (vol) vol.109
Number (no) 390
Page pp.pp.-
#Pages 6
Date of Issue