Category Archives: Recommendation
Criteo’s take on RecSys 2017: 10 papers you should not miss
At Criteo, we closely watch and contribute to the state-of-the-art in recommender systems for which…
I am a recruiter and I love recommender systems
As soon as I knew I would join Criteo as a R&D recruiter, I started…
DBWeb Seminars: Deep Character-Level Click-Through Rate Prediction for Sponsored Search
Telecom Paristech’s DBWeb Seminars will feature on Wednesday (12:00 pm) Criteo Scientist Amin Mantrach who…
Google experiments with Tensorflow on Criteo Dataset
Excited to know that our friends from Google have made few experiments very recently, using Tensorflow…
Criteo at RECSYS 2016
Criteo was in full force at the 2016 RECSYS edition in Boston. With 10 people…
Meta-Prod2Vec – Product Embeddings Using Side-Information for Recommendation
Product Recommendation at Criteo Recommending to users the right product at the right time is…
Product Recommendation at Criteo
The engine recommendation team As we said time and again, performance is everything. The performance…
Criteolabs goes to ACM Recsys 2015, Vienna, Austria.
When: Wed 16 – Sun 20 September Location: Technische Univerität Wien, Vienna, Austria Criteolabs is…
Large-scale machine learning at Criteo
At Criteo, machine learning lies at the core of our business. We use machine learning…
