If you’re looking for ways to discover new music, Maroofy might be the answer. This innovative algorithm is able to recommend songs that are similar in sound, genre, and tempo based on your input. It’s a great improvement over traditional streaming services like Spotify and YouTube Music, which rely heavily on genres and marketing to make suggestions.
Maroofy stands out because it can pick up on the qualities of a song that make it enjoyable – something that other recommendation algorithms have struggled with. For example, when trying out Natural Woman by Carole King, Maroofy not only recommended other slow but rhythmic piano vamps with tender vocals by artists singing in different languages; it also recommended more from Carole King herself. It even managed to recognize songs with the same key!
Maroofy is also capable of understanding more complex music like atonal pieces. However, there are some limitations – while searching for Naama for solo harpsichord by Iannis Xenakis led to some results of tonal music rather than atonal music as expected due to its focus on sound rather than genre or tempo consistency between recommendations.
Overall this algorithm has lots of potential for helping people find new tunes they may not have discovered otherwise - especially if users could set their own novelty slider or upvote/downvote results. Unfortunately there aren’t many details available about how exactly Maroofy accesses 120 million plus songs - it would be interesting to learn more about how this feat was achieved!
In conclusion, Maroofy sounds like an incredibly promising recommendation algorithm that could help people expand their musical horizons beyond what traditional streaming services offer them – we look forward to seeing what else comes from this project in the future!
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Author Eliza Ng