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Conference Papers Year : 2021

reco.mu: A Music Recommendation System Depending on Listener’s Preference by Creating a Branching Playlist

Kosuke Nonaka
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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.
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hal-04144371 , version 1 (28-06-2023)

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Kosuke Nonaka, Satoshi Nakamura. reco.mu: A Music Recommendation System Depending on Listener’s Preference by Creating a Branching Playlist. 20th International Conference on Entertainment Computing (ICEC), Nov 2021, Coimbra, Portugal. pp.252-263, ⟨10.1007/978-3-030-89394-1_19⟩. ⟨hal-04144371⟩
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