Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: September 2020
- Booktitle: Proceedings of the 24th International Conference on Information Visualisation (iV2020)
- Call for Papers: Call for Paper
- Event: The 24th International Conference on Information Visualisation (iV2020)
- Lecturer: Narumi Kuroko
- Pages (from): 1
- Pages (to): 6
Abstract
Users often choose songs with respect to special situations and environments. We designed and developed a music recommendation method inspired by this fact. This method selects songs based on the distribution of acoustic features of the songs listened by a user at particular places that have higher ordinariness for the user. It is important to verify the relationship between the places where the songs are listened to and the acoustic features in this. Hence, we conducted the visualization to explore potential correlations between geographic locations and the music features of single users. In this paper, we designed an interactive visualization tool methods and results for the analysis of the relationship between the places and the acoustic features while listening to the songs.
Additional Files and Images
Additional images and videos
Additional files
Weblinks
No further information available.
BibTeX
@inproceedings{Kuroko-2020-iV,
title = "Visualization of Correlations between Places of Music
Listening and Acoustic Features ",
author = "Narumi Kuroko and Hayato Ohya and Takayuki Itoh and Nicolas
Grossmann and Hsiang-Yun Wu",
year = "2020",
abstract = "Users often choose songs with respect to special situations
and environments. We designed and developed a music
recommendation method inspired by this fact. This method
selects songs based on the distribution of acoustic features
of the songs listened by a user at particular places that
have higher ordinariness for the user. It is important to
verify the relationship between the places where the songs
are listened to and the acoustic features in this. Hence, we
conducted the visualization to explore potential
correlations between geographic locations and the music
features of single users. In this paper, we designed an
interactive visualization tool methods and results for the
analysis of the relationship between the places and the
acoustic features while listening to the songs.",
month = sep,
booktitle = "Proceedings of the 24th International Conference on
Information Visualisation (iV2020)",
event = "The 24th International Conference on Information
Visualisation (iV2020)",
pages = "1--6",
URL = "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/",
}