Presentation	2012-02-28 Music Recommendation using Word Segmentation of Social Tags Takuya ANDO, Kanako KOMIYA, Yoshiyuki KOTANI,
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Abstract(in English)	Recently, the music recommendation systems are necessary because the users of the e-commerce cannot find the music they like easily due to increasing the music tracks in them. On the other hand, social Tags are used by many web sites for information retrieval and recommendation systems. We developed the music recommendation system using social tags, and proposed a method that uses word segmentation of social tags. As a result of this method, the precision and the MRR are increased. Thus, this word segmentation method is useful for music recommendation.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Music Recommendation / Social Tag
Paper #	AI2011-41
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Conference Information
Committee	AI
Conference Date	2012/2/21(1days)
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Paper Information
Registration To	Artificial Intelligence and Knowledge-Based Processing (AI)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Music Recommendation using Word Segmentation of Social Tags
Sub Title (in English)
Keyword(1)	Music Recommendation
Keyword(2)	Social Tag
1st Author's Name	Takuya ANDO
1st Author's Affiliation	Graduate School of Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name	Kanako KOMIYA
2nd Author's Affiliation	Institute of Engineering, Tokyo University of Agriculture and Technology
3rd Author's Name	Yoshiyuki KOTANI
3rd Author's Affiliation	Institute of Engineering, Tokyo University of Agriculture and Technology
Date	2012-02-28
Paper #	AI2011-41
Volume (vol)	vol.111
Number (no)	447
Page	pp.pp.-
#Pages	5
Date of Issue