There’s a lot of hype about “big data” and a general trend to try to apply Hadoop to almost every problem. However, sometimes it turns out that you can get … Continue Reading →
Category Archives: hadoop
Using Amazon’s Elastic Map Reduce to compute recommendations with Apache Mahout 0.8
Apache Mahout is a “scalable machine learning library” which, among others, contains implementations of various single-node and distributed recommendation algorithms. In my last blog post I described how to implement … Continue Reading →