Development of a Music Recommendation System Based on Music Feature

Abstract

It has become difficult for users to find music that matches their preferences with the increasing number of songs due to the development of subscription services in recent years. To address this problem, in this study, we extract music features and use them to generate impression images and develop a recommendation system. As a result, we developed a recommendation system using the music features. We used ‘Stable Diffusion’ to generate images that represent the mood of the music. Additionally, we created ‘Animated GIF’ as another method of dynamic.