APPLICATION OF MUSIC RECOMMENDATION SYSTEM

A music recommendation system using content-based filtering relies on the characteristics of the music itself to make recommendations to users. This approach involves analyzing the attributes of each song in the system’s database, such as the genre, artist, and tracks. When a user inputs a song name, the recommendation system uses these attributes to identify similar songs and make recommendations based on the user’s input. This type of recommendation system is useful for users who have specific music preferences and want to discover new artists or songs within their preferred genres. It is also effective at personalized recommendations, as it takes into account the individual characteristics of each user .