Recommending music on Spotify with deep learning by Sander Dieleman.
From the post:
This summer, I’m interning at Spotify in New York City, where I’m working on content-based music recommendation using convolutional neural networks. In this post, I’ll explain my approach and show some preliminary results.
Overview
This is going to be a long post, so here’s an overview of the different sections. If you want to skip ahead, just click the section title to go there.
- Collaborative filtering
A very brief introduction, its virtues and its flaws.- Content-based recommendation
What to do when no usage data is available.- Predicting listening preferences with deep learning
Music recommendation based on audio signals.- Scaling up
Some details about the convnets I’ve been training at Spotify.- Analysis: what is it learning?
A look at what the convnets learn about music, with lots of audio examples, yay!- What will this be used for?
Some potential applications of my work.- Future work
- Conclusion
…
If you are interested in the details of deep learning and recommendation for music, you have arrived at the right place!
Walking through Sander’s post will take some time but it will repay your efforts handsomely.
Not to mention Spotify having the potential to broaden your musical horizons!
I first saw this in a tweet by Mica McPeeters.