Then going along the top is all 30 milllion+ songs. Going down one side we have all 250 million+ users. They use us against each other.Īll this listener data ends up in a giant matrix. And this is really their lifeblood of their discovery algorithm. All our darkest secrets and guilty pleasures. Considering that they also have been in the biz for so long, this means they have a lot of data on our listening habits. They reported in October that they had ~250 million active users. Spotify is the largest music streaming platform. Sound Waves – it listens to the songs themselves.Natural language processing – it reads the internet (i.e.Listener base – what do us users like and what do we not like?.There are three main approaches that Spotify uses: But I think it is worth talking broadly about how it works, because it does a lot more than I thought. So how is it doing this? I promise I will not go into the hard maths and the details of the Artificial Intelligence running under the hood. Customising even how it presents itself, to give the user their bespoke experience. The reason it does so well is that the whole Spotify app is built around learning and improving. On the off-chance that someone else finds this interesting I am going to tell you what I found.ĭiscover often does a really great job at giving me new music. And I have to say I have been pretty surprised and impressed. Since then I stepped off the deep end and have been reading way too much about Discover and how it recommends music to folks. In the process I started to try and figure out how Spotify worked. Last time out I was getting all moany about genre.
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