Abstract

The online music libraries or what we can call as music streaming services have overflown their streaming platforms with hundreds and thousands of music playlist and music catalogs which has put the users in a struggle to find their best suitable music playlists according to their needs and their musical tastes. In this paper, we have aimed at designing a approach for generating playlists which suits the users musical taste. In this approach we analyze FM radio music programming, transform the songs into their audio features, and use that data to generate playlist for the users.

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