Recommender Systems
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How RecSys & LLMs Will Converge: Architecture of Hybrid RecoAgents
Recommender systems have become critical infrastructure in commerce. Their role is not only to surface relevant items but also to shape how users explore, compare, and decide. Improvements in recommendation translate directly into superior business outcomes: higher engagement, more conversions, stronger loyalty, and more efficient allocation of marketing budgets. Over the last couple of years,…
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Highlights of RecSys 2022
As every year since 2014, Criteo went to RecSys 2022! We were happy and proud to be a gold sponsor of this conference, especially as it had a lively onsite part in the beautiful city of Seattle. Criteo and Recommendation Systems Many know Criteo as a world leader in AI-driven Performance Advertising (now subsumed in…
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Highlights of RecSys 2019
Recommendation Systems, Deep Learning, User-Centric, Reproducibility and Multi-Task Authors: Romain Beaumont, Amine Benhalloum, Florian Courtial, Ugo Tanielian, Marina Vinyes, Pranjul Yadav Recsys 2019 took place in Copenhagen and with 909 attendees from around the world, it is the biggest edition so far. RecSys covers a wide variety of topics about recommender systems from their social…
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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 to brush up my Machine Learning skills. Quickly, I bumped into the big names : Andrew Ng, Yoshua Bengio, Yann Le Cun, Geoffrey Hinton…etc. Knowing those names is important as, nowadays, researchers have an impactful aura on other researchers but also…
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Product Recommendation at Criteo
As we said time and again, performance is everything. The performance of our ads depends a lot on the content we put in them. We’ve found that personalized product selection makes for better ads: people tend to click more and buy more when we display content that’s tailored for them specifically. We’re able to gather…