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Paper Abstract and Keywords
Presentation 2016-02-22 16:00
A Note on Quantification of Relationship between Users and Musical Pieces Using Graph Structure Analysis
Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a quantification method of relationship between users and musical pieces using graph structure analysis. Our previous method recommends music with considering latent features of musical pieces based on topic model. However, our previous method focuses only on similarities between musical pieces but does not consider relationship between users and musical pieces. Therefore, the proposed method makes a graph structure which has nodes representing users or their favorite musical pieces, and the edge weights represent “similarities between users’ preference”, similarities between musical pieces” and “strength of his/her interest in musical pieces”. By monitoring passage distance from users to musical pieces on the graph, we can quantify the relationship between users and musical pieces to realize music recommendation.
Keyword (in Japanese) (See Japanese page) 
(in English) graph structure analysis / topic model / music recommendation / / / / /  
Reference Info. ITE Tech. Rep., vol. 40, no. 6, ME2016-58, pp. 209-212, Feb. 2016.
Paper # ME2016-58 
Date of Issue 2016-02-15 (MMS, CE, HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee HI IEICE-IE AIT IEICE-ITS ME MMS CE  
Conference Date 2016-02-22 - 2016-02-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokudai 
Topics (in Japanese) (See Japanese page) 
Topics (in English) image processing etc 
Paper Information
Registration To ME 
Conference Code 2016-02-HI-IE-AIT-ITS-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Quantification of Relationship between Users and Musical Pieces Using Graph Structure Analysis 
Sub Title (in English)  
Keyword(1) graph structure analysis  
Keyword(2) topic model  
Keyword(3) music recommendation  
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1st Author's Name Shohei Kinoshita  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2016-02-22 16:00:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2016-25, CE2016-25, HI2016-25, ME2016-58, AIT2016-25 
Volume (vol) vol.40 
Number (no) no.6 
Page pp.209-212 
#Pages
Date of Issue 2016-02-15 (MMS, CE, HI, ME, AIT) 


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