Publication Date: 2020/04/23
Abstract: Recommender systems have taken mainly on entertainment and e-commerce industries by storm. Variety of the samples of music recommender system is Amazon, Netflix, Spotify, Gaana Music. Music recommendation could also be a really challenging problem as we've to structure music during how that we recommend the favorite songs to clients which aren’t a specific prediction. It’s dynamic and sometimes leverage by components apart from clients’ or songs’ listening history. During this paper, I even have designed, implemented and analyzed songs recommendation system using SVD (Singular Value Decomposition) algorithm. According to .Nielsen’s Music 360 2014 study, 93% of the U.S. population listens to music, spending quite 25 hours hebdomadally jamming bent their favorite tunes.
Keywords: Recommender system, collaborative filtering, Popularity Based, Content Based, Machine learning algorithm, SVD algorithm.
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT20APR129.pdf
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