| Paper Abstract and Keywords |
| Presentation |
2019-02-20 11:30
A Note on Popularity Prediction of Artists on Music Streaming Services Based on Network Analysis Using Heterogeneous Features
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper presents a novel method to predict popularity of artists on music streaming services based on network analysis. In the proposed method, a network whose nodes correspond to artists can be constructed by collaboratively using audio features of their audio tracks, textual features of their biographies and social metadata representing related artists. In addition, the proposed method constructs a classifier that can predict whether each artist is popular or not by extracting features considering structure of the obtained network. Experimental results on multiple real-world datasets constructed by using one of the largest music streaming services show the effectiveness of the proposed method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Popularity prediction / Music streaming service / Network analysis / Canonical correlation analysis / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 43, no. 5, ME2019-56, pp. 301-306, Feb. 2019. |
| Paper # |
ME2019-56 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME IEICE-IE IEICE-ITS MMS HI AIT |
| Conference Date |
2019-02-19 - 2019-02-20 |
| 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 |
2019-02-ME-IE-ITS-MMS-HI-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Popularity Prediction of Artists on Music Streaming Services Based on Network Analysis Using Heterogeneous Features |
| Sub Title (in English) |
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| Keyword(1) |
Popularity prediction |
| Keyword(2) |
Music streaming service |
| Keyword(3) |
Network analysis |
| Keyword(4) |
Canonical correlation analysis |
| Keyword(5) |
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| 1st Author's Name |
Yui Matsumoto |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Ryosuke Harakawa |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Takahiro Ogawa |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Miki Haseyama |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2019-02-20 11:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2019-34, HI2019-34, ME2019-56, AIT2019-34 |
| Volume (vol) |
vol.43 |
| Number (no) |
no.5 |
| Page |
pp.301-306 |
| #Pages |
6 |
| Date of Issue |
2019-02-12 (MMS, HI, ME, AIT) |