Data Science

Optimal bidding: a dual approach

We propose a practical yet rigorous near-optimal bidding strategy for…

Our take on mobile fraud detection

Jampp’s mission is to help companies grow their mobile business by engaging users and driving new…

Scoring our publishers

At Jampp, we use a variety of sources to generate our traffic flow. Generally speaking, the source employed in one…

ITBA’s Big Data Present and Future Conference

On May 18th, our data team participated in the “Big Data: Present and Future in…

Using Julia for safe Data Science

Recently in Jampp, I had the chance to switch some of our data science environment from Python to Julia. For various reasons, its type system is, in my opinion, one of the best language features. The most obvious one is the performance enhancements it allows. I will…

Smarter mobile fraud detection for click spamming

The importance of serving the right amount of ads