Erik Bernhardsson    About

Microsoft’s new marketing strategy: give up

I think it’s funny how MS at some point realized they are not the cool kids and there’s no reason to appeal to that target audience. Their new marketing strategy finally admits what’s been long known: the correlation between “business ca...

Bagging as a regularizer

One thing I encountered today was a trick using bagging as a way to go beyond a point estimate and get an approximation for the full distribution. This can then be used to penalize predictions with larger uncertainty, which helps reducin...

Model benchmarks

A lot of people have asked me what models we use for recommendations at Spotify so I wanted to share some insights. Here’s benchmarks for some models. Note that we don’t use all of them in production. Performance for recommender models ...

statself.com

Btw I just put something up online that I spent a couple of evenings in my couch putting together: it’s a website where you can track any numerical data on the web. Want to know how many Twitter followers you have? Temperature in NYC? Go...

Implicit data and collaborative filtering

A lot of people these days know about collaborative filtering. It’s that Netflix Prize thing, right? People rate things 1-5 stars and then you have to predict missing ratings. While there’s no doubt that the Netflix Prize was successful...

Vote for our SXSW panel!

If you have a few minutes, you should check out mine and Chris Johnson‘s panel proposal. Go here and vote: http://panelpicker.sxsw.com/vote/24504 Algorithmic Music Discovery at Spotify **Spotify crunches hundreds of billions of streams...

What’s up with music recommendations?

I just answered a Quora question about what, if any, are the differences in the algorithms that are behind recommendations for music and movies. Of course, every media type is different. For instance, there’s fundamental reasons why lat...