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Paper Abstract and Keywords
Presentation 2017-02-20 11:30
A note on quantification of relationship between users and musical pieces using graph structure analysis (2) -- Verification of using link prediction --
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.Our proposed relationship is obtained by constructing the heterogeneous graph where nodes are users and musical pieces and applying link prediction to the graph.Our previous method recommends music by monitoring passage distance from users to musical pieces on the graph.However, our previous method focuses only on passage distance on the graph but does not consider link structure around the target node pairs.Therefore, the proposed method quantifies the relationship between users and musical pieces by using link prediction methods, which are some parts of the graph structure analysis methods.Link prediction methods predict the presence or absence of link between the target node pairs based on link structure.Finally, we can quantify the relationship between users and musical pieces considering link relationship among nodes to realize the successful music recommendation by introducing the link prediction methods.
Keyword (in Japanese) (See Japanese page) 
(in English) music recommendation / graph structure analysis / link prediction / / / / /  
Reference Info. ITE Tech. Rep., vol. 41, no. 5, ME2017-26, pp. 31-34, Feb. 2017.
Paper # ME2017-26 
Date of Issue 2017-02-13 (MMS, CE, HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee CE MMS AIT HI ME IEICE-ITS IEICE-IE  
Conference Date 2017-02-20 - 2017-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ME 
Conference Code 2017-02-CE-MMS-AIT-HI-ME-ITS-IE 
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 (2) 
Sub Title (in English) Verification of using link prediction 
Keyword(1) music recommendation  
Keyword(2) graph structure analysis  
Keyword(3) link prediction  
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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 2017-02-20 11:30:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2017-2, CE2017-2, HI2017-2, ME2017-26, AIT2017-2 
Volume (vol) vol.41 
Number (no) no.5 
Page pp.31-34 
#Pages
Date of Issue 2017-02-13 (MMS, CE, HI, ME, AIT) 


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