Six Questions for Kim Falk author of Practical Recommender Systems
By Frances Lefkowitz
Kim Falk is a Copenhagen-based data scientist who works with machine learning and recommender systems. Keep up with him @kimfalk on Twitter.
By Kim Falk
In this article, excerpted from Practical Recommender Systems, I talk about the steps that compose a recommender system.
By Kim Falk
In this article, excerpted from my book Practical Recommender Systems, I explain the concept of “evidence” using Netflix.
How (I think) Netflix gathers evidence while you browse (PDF)