One of life’s most enjoyable moments is finding new favorite songs, but this is often a solo experience. We analyze you and a friend's Spotify listening histories to curate a playlist full of recommended songs made just for the two of you to Discover Together.
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I love this product! I've made some awesome playlists with my friends and even myself using Discover Together! I highly recommend this web app for finding new music
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What a great music app! I'm working on a music festival app, and it's great to see others making apps to share music.
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I've been using Discover Together for a while and found it to be amazing! Highly recommend it to anyone who listens to music.
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Amaziiiing project @trustinyoon1 ! Congrats! I just emailed you cause I would love to collaborate with the project!
@andrewthezhou Thanks so much Andrew! Likewise on your launch with Kona earlier this week - so necessary to keep teams healthy and thriving especially while remote.
We take two users' recent listening histories (3-4 months of data) and merge their top 50 songs together to make a dataframe of 100 total songs. We then use k-means clustering to categorize each song into the 3-5 most common subgenres/tastes/moods/sonic features found within the 100 songs. With these clusters, we use Spotipy's recommendation algorithm to these clusters to generate ~30 songs that are most similar to those clusters!
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