ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2019-03-12 14:00
A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the mainstream of environments for music listening has moved to small devices such as smartphones. As a result, we expect the increased possibility of dissemination of new music recommendation technologies. Small devices such as smartphones can connect to the Internet anytime and equip with various sensors. We can utilize these sensors to record individual activity as life logs. There have been techniques for estimating user's preferences and habits by analyzing life logs and recommending music accordingly. We are developing a music recommendation system that takes into account the ordinariness of users determined from the location information recorded on life logs. This study is based on our hypothesis that users often select music based on their ordinariness. This paper introduces our plan and on-going implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Music Recommendation / Music Information Processing / Machine Learning / Collaborative Filtering / Content-based / Lifelog / Ordinariness /  
Reference Info. ITE Tech. Rep., vol. 43, pp. 341-344, March 2019.
Paper #  
Date of Issue 2019-03-05 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Download PDF

Conference Information
Conference Date 2019-03-12 - 2019-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2019 
Paper Information
Registration To AS 
Conference Code 2019-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Music Recommendation System Considering the Location-based Ordinariness 
Sub Title (in English)  
Keyword(1) Music Recommendation  
Keyword(2) Music Information Processing  
Keyword(3) Machine Learning  
Keyword(4) Collaborative Filtering  
Keyword(5) Content-based  
Keyword(6) Lifelog  
Keyword(7) Ordinariness  
1st Author's Name Narumi Kuroko  
1st Author's Affiliation Ochanomizu University (Ocha Univ.)
2nd Author's Name Hayato Oya  
2nd Author's Affiliation RecoChoku Co. (RecoChoku)
3rd Author's Name Takayuki Itoh  
3rd Author's Affiliation Ochanomizu University (Ocha Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2019-03-12 14:00:00 
Presentation Time 135 minutes 
Registration for AS 
Paper # AIT2019-146 
Volume (vol) vol.43 
Number (no) no.9 
Page pp.341-344 
Date of Issue 2019-03-05 (AIT) 

[Return to Top Page]

[Return to ITE Web Page]

The Institute of Image Information and Television Engineers (ITE), Japan