Criteo is an advertising company that displays ads on websites for its partners. It uses machine learning for click prediction models and product recommendations. Criteo has a large infrastructure across multiple data centers and handles over 30 billion HTTP requests per day. The presentation discusses the challenges of building machine learning models at Criteo's scale for real-time bidding and recommendations, such as dealing with many variables, changing products, and different timeframes.
We’re really happy to have you all here. On a completely unrelated note, we’re hiring. If you’d like to know more, you’re welcome to chat with the two lovely ladies: Lisa and Clementine.Avant de commencer, je voulaisvousremercier d’être venus, on estravis de vousavoirici. A ce propos, je tenais à signaler qu’onrecrute. Si vousêtesintéressé, n’hésitez pas à discuter avec les deuxcharmantespersonnes qui sontlà pour ça: Lisa et Clementine.
An example of phi is: rather than pick the time of day, split between “morning, work hours” and “evening”.
I’m using the masculine form because Criteo is unfortunately slightly gender-biased.
Every time your bid is slower, you lose money: timeout, RTB platform does not want to deal with you anymore, ...This is not image recognition. Keep it simple: a tree, a linear model, ...
SGD is not advantageous because, when you have 10 times more data, you don’t have that much more information
SGD is not advantageous because, when you have 10 times more data, you don’t have that much more information
SGD is not advantageous because, when you have 10 times more data, you don’t have that much more information
Go in the past: business team started a new campaign with high CPC which flooded your dataset.Long term vs short term: expensive computations vs cheap onesChoose the best variables: each variable adds latency.Conclusion: there are many more questions than “What is the best f I can think of?”
I’m using the masculine form because Criteo is unfortunately slightly gender-biased.
I’m using the masculine form because Criteo is unfortunately slightly gender-biased.