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Prezi006-e1324592429687

Peeking Into the Black Box, Part 2: Algorithm Meets World

In Part 1 of this series, I claimed that Recoset’s RTB algorithm is able to take advantage of other bidders’ sub-optimal behaviour and navigate around publisher price floor in order to achieve advertiser goals. I then described the algorithm, which applies what … >> Read More

Surplus

Peeking Into the Black Box, Part 1: Recoset’s RTB Algorithms

This article is about the statistical and economic theory that underlies Recoset’s real-time bidding strategies, as a follow-up to my previous article on how we apply control theory to pace our spending, which I’m grandfathering in as “Part 0” of this short … >> Read More

dependencies

Using make to Orchestrate Machine Learning Tasks

One of the things we do at Recoset is to use machine learning algorithms to optimize real-time bidding (RTB) policies for online display advertising. This means we train software models to predict, for example, the cost and the value of showing a given ad impression, … >> Read More

dashboard

Statsd, Graphite and Nagios

At Recoset we tend to worship, like Etsy (and AppNexus!), at the Church of Graphs. We’ve even started using Statsd, the system they’ve released to collect stats and relay them to Carbon for display in Graphite. And by display, I mean display on a dashboard visible … >> Read More