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 |
Download PDF |
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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 |
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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 |
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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 |
4 |
Date of Issue |
2017-02-13 (MMS, CE, HI, ME, AIT) |