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How would one implement Apple iTunes 'Genius' algorithm?

I've always wondered about how and what the best way to go about implementing the 'Genius' feature on iTunes.

I could probably brute force it, but was just wondering if anyone had any insight.

Thanks.

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Brian Liang Avatar asked Sep 16 '09 01:09

Brian Liang


People also ask

How does Genius work on iTunes?

When you opt-in to the Genius feature by checking the box below, Apple will, from time to time, automatically collect information that can be used to identify media in your iTunes library on this computer, such as your play history and play lists.

How do you make a Genius list on iTunes?

Create a Genius Playlist A Genius Playlist has the Genius icon next to it. In the iTunes app on your PC, choose Music from the pop-up menu at the top left. Select a song, then choose File > New > Genius Playlist.

How do you do Genius on Apple Music?

Create a Genius PlaylistSelect a song, then choose File > New > Genius Playlist. To make changes to the playlist, do one of the following: Change the maximum number of songs in a Genius Playlist: Click the arrow next to the song total, then choose a number from the pop-up menu.

How do you make a Genius mix on Iphone?

What to Know. Open the Music app and choose a song you want to base the playlist around. Tap the More icon and choose Create Genius Playlist. Close the playback screen and go to Playlists, choose your new Genius playlist, and choose Edit to add more songs.


1 Answers

The Genius algorithm is an example of a recommendation system, which is a hot topic in E-commerce systems. So much so that Netflix had a $1 million prize that went on for several years to improve their recommendation system by a mere 10%.

On iTunes you have a collection of music. Genius can make assumptions that if you have this music that you must like it. If enough people have song B that have song A then Genius can say that if you have song A you'll probably like song B.

Just having the song would be a fairly weak recommendation. Better would be if the user had rated that music so you can improve the strength of the "recommendation" on that basis.

I'd highly recommend reading If You Liked This, You’re Sure to Love That as a good primer on recommendation systems.

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cletus Avatar answered Sep 24 '22 02:09

cletus