Machine Learning Model Based System Design For Music Recommendation

Based on the qualities of the music that has been heard before, music recommendation systems can forecast the user's preferences and then present the most suitable songs to them. One of the tasks in information retrieval is creating a music recommendation system. Content-based approaches make recommendations based on how closely two songs' contents or other characteristics match. Digital music is now widely available compared to earlier times because to commercial music streaming services that may be accessed through mobile devices. It takes a long time to sort through all of this digital music, and it makes you feel overwhelmed by information. Consequently, it is highly helpful automatically search through music archives and propose appropriate songs to consumers. This study focuses on contentbased music recommendation systems.