A Music Recommendation System based on Melody Creation by Interactive GA

We can now access to large music databases. However, it is not easy to find favorite music pieces that the user does not know yet from those databases. Therefore, the demand for the music recommendation system is increasing. The purpose of this study is to construct a system to recommend music piece...

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Published in:2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) pp. 286 - 290
Main Authors: Yamaguchi, Genki, Fukumoto, Makoto
Format: Conference Proceeding
Language:English
Japanese
Published: IEEE 01.07.2019
Subjects:
content-based filtering
Evolutionary computation
Genetic algorithms
IEC
interactive genetic algorithm
melody creation
Music
music recommendation
Recommender systems
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Abstract We can now access to large music databases. However, it is not easy to find favorite music pieces that the user does not know yet from those databases. Therefore, the demand for the music recommendation system is increasing. The purpose of this study is to construct a system to recommend music pieces that suit each user's preferences from their unknown music pieces. In the proposed method of this study, first, we create a melody for each user using Interactive Genetic Algorithm (IGA). Next, we recommend music piece that contains parts similar to the created melody using the music recommendation system. In the recommendation, relative key is used. To confirm the effectiveness of the proposed method, we conducted 2 listening experiments with 10 subjects. In the melody creation experiment, the average subjective fitness gradually increased, and significant differences between the first generation and some generations including the final generation was observed. On the other hand, in the music recommendation experiment, effectiveness could not be confirmed. The failure of the recommendation might be caused from shortage of the size of the music database: it contains only 100 pieces. Therefore, the music piece which was sufficiently similar to the created melody could not be recommended. From the above results, expansion of the music database is discussed as a future task.
AbstractList We can now access to large music databases. However, it is not easy to find favorite music pieces that the user does not know yet from those databases. Therefore, the demand for the music recommendation system is increasing. The purpose of this study is to construct a system to recommend music pieces that suit each user's preferences from their unknown music pieces. In the proposed method of this study, first, we create a melody for each user using Interactive Genetic Algorithm (IGA). Next, we recommend music piece that contains parts similar to the created melody using the music recommendation system. In the recommendation, relative key is used. To confirm the effectiveness of the proposed method, we conducted 2 listening experiments with 10 subjects. In the melody creation experiment, the average subjective fitness gradually increased, and significant differences between the first generation and some generations including the final generation was observed. On the other hand, in the music recommendation experiment, effectiveness could not be confirmed. The failure of the recommendation might be caused from shortage of the size of the music database: it contains only 100 pieces. Therefore, the music piece which was sufficiently similar to the created melody could not be recommended. From the above results, expansion of the music database is discussed as a future task.
Author Fukumoto, Makoto
Yamaguchi, Genki
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  organization: Fukuoka Institute of Technology,Department of Computer Science and Engineering,Fukuoka,Japan
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Snippet We can now access to large music databases. However, it is not easy to find favorite music pieces that the user does not know yet from those databases....
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StartPage 286
SubjectTerms content-based filtering
Evolutionary computation
Genetic algorithms
IEC
interactive genetic algorithm
melody creation
Music
music recommendation
Recommender systems
Title A Music Recommendation System based on Melody Creation by Interactive GA
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