AI & Machine Learning
-
Introducing CLEPR, our model for semantic understanding
At Criteo, retail media is about helping brands reach shoppers directly on retailers’ property, right at the digital shelf where purchase decisions are made. Through CMAX, our unified retail media platform, we connect advertisers to retailers’ audiences with Sponsored Products that appear alongside native results in onsite search and browsing experiences. In this context, the…
-
Beyond the demo: Why agentic evaluation matters
Agentic systems powered by LLMs can be incredibly impressive in demos. With a few well-crafted prompts, they can demonstrate reasoning, calling tools, and solving complex tasks [1]. Demos are effective at showcasing what’s possible. Production environments, however, are where those capabilities are tested at scale and under real-world conditions. The same agent that performs perfectly…
-
Leveraging Commerce Data for Outcome-Based Relevancy in Agentic Recommendation Systems
TL;DR Most agentic commerce recommendation services today rely on content embeddings or mainstream LLMs (e.g., Claude, Llama, GPT). While effective for semantic understanding, these models are not grounded in real shopping behavior and are not optimized for commercial objectives such as clicks or conversions. In this article, we show that leveraging commerce data at both…
-
Video Ads: Introducing video interactivity in production
At the end of 2024, Criteo’s Video R&D team started working on a new goal: adding recommended products on top of videos, so that each display delivered to someone on the Open Web would become the most relevant possible. Over the last two decades, Criteo has continuously advanced its recommendation engine. Good news: From now…
-
Criteo Boosts Ad Performance with Latest AI Advancements
Abstract. Everyone talks about AI today, and it seems AI has become an off-the-shelf tool providing plug-and-play capabilities. However, when addressing the hardest problems, such as those arising in the Commerce Media and AdTech industry, things are far more complex and require advanced AI (more specifically, machine learning) expertise. In this post, we share the…
-
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,…
-
Agents, APIs, and Advertising: Lessons From Engineering Our MCP Server
MCP, Model Context Protocol, has made quite some noise in the past year as it promises a simpler, user-driven, integration of tools into Large Language Models (LLMs). At Criteo, we believe that MCP will be key to empowering our clients and giving them the control to create and manage advertising campaigns in a new way:…
-
Five years of Criteo AI Lab
Integrating real AI into AdTech Authors: Romain Lerallut & Liva Ralaivola Five years ago, we set out to do something unheard of in the French tech market — starting a state-of-the-art AI Lab at Criteo. Announcing the Criteo AI Lab We are pleased to announce the launch of the Criteo AI Lab (CAIL), a new chapter in our…
-
Using AI and NLP to Tackle Advertisement Spreading Disinformation on the Conflict in Ukraine
Disinformation* and glorification of violence in the context of the war in Ukraine At Criteo, we strive to provide rigorous Supply Partner Guidelines to create a safe and efficient advertising solution that benefits our marketers and media owners. Our guidelines state that ”sharing or propagating false information or fabricated information designed to deceptively imitate news media…
-
An Insight into the Criteo AI Lab
An article by Morgane Goibert, Alberto Lumbreras & Flavian Vasile from Criteo The Criteo AI Lab is pioneering innovations in computational advertising. Within this center of scientific excellence, distributed across Paris, Grenoble, and Ann Arbor, our researchers and engineers deliver both fundamental and applied scientific leadership through published research, product innovations, and new technologies powering…