Abstract
It is not easy to recommend various content, including music, to others. This paper proposes a method that enables people to recommend music depending on listeners’ preferences by creating branching playlists. By evaluating the method’s effectiveness, we found that branching playlists increased the degree of satisfaction, familiarity, and interest of the listener. We also implemented a Web based music recommendation system called “reco.mu” that incorporates the proposed method. We found that the creator becomes more conscious of the recommender when creating a branching playlist.
Artifacts
Information
Book title
20th IFIP TC14 International Conference on Entertainment Computing (IFIP ICEC 2021)
Volume
LNCS 13056
Pages
252-263
Date of issue
2021/10/22
Date of presentation
2021/11/03
Location
Online
Citation
Kosuke Nonaka, Satoshi Nakamura. reco.mu: A Music Recommendation System Depending on Listener’s Preference by Creating a Branching Playlist, 20th IFIP TC14 International Conference on Entertainment Computing (IFIP ICEC 2021), Vol.LNCS 13056, pp.252-263, 2021.