Content-based Music Recommendation System

Abstract

Building a music recommender systems is one of information retrieval tasks. This research is devoted to a content- based music recommender system. The main peculiarity of our work is that the developed recommendation system is based on the acoustic similarity of musical compositions. Two approaches of building a content-based music recommender system are considered in this paper. The first is a quite common approach that uses acoustic features analysis. The second approach includes deep learning and computer vision methods application in order to improve the results of the recommender system.

Keywords

• music information retrieval
• recommender system
• digital signal processing
• machine learning
• artificial intelligence
• deep learning