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- Title
AI based Song Recommendations System.
- Authors
Tupe, U. L.; Kulkarni, Anvit; Nimbokar, Gaurav; Mahajan, Prasad; Raut, Narayan
- Abstract
AI-based song recommendation systems have gained significant popularity as streaming services such as Spotify, Amazon Music, Hungama Music, SoundCloud, Jio Saavn, and Apple Music utilize them to suggest songs based on user preferences, listening history, and behavior. These systems leverage machine learning algorithms to analyze extensive data sets encompassing music genres, artists, lyrics, and user interactions. By doing so, they accurately predict and present music that aligns with users' tastes, enhancing their overall listening experience. However, while these advancements in AI technology have revolutionized the music industry, concerns regarding privacy, transparency, and bias have emerged. Addressing these issues is crucial to safeguard user rights. As AI technology continues to evolve, it is anticipated that song recommendation systems will become even more sophisticated, personalized, and accurate, fundamentally reshaping the way we explore and enjoy music.
- Subjects
ARTIFICIAL intelligence; RECOMMENDER systems; MACHINE learning; POPULAR music genres; DIGITAL music; MUSIC industry
- Publication
Grenze International Journal of Engineering & Technology (GIJET), 2024, Vol 10, p2167
- ISSN
2395-5287
- Publication type
Article