Hybrid Deep Learning-Based Music Recommendation System

The fundamental objective of musical recommendations is to propose songs that are appropriate to the tastes of the user. In this paper, we have developed, implemented, and analyzed music recommendation systems with variations of music recommendation algorithm using MLP neural network such as content-based model using MLP neural network, collaborative model using MLP neural network, and hybrid model using MLP neural network. We have also looked into the accuracy and precision of all the three algorithms with various activation functions.