Advertising
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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…
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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:…
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Criteo and the Advertising Ethics
An article by Zofia Trstanova and Renaud Bauvin When responding to the usual question ‘What do you do for a living?’, you tell someone that you work in online advertising, the reaction is often the same: ’So you are the ones with the annoying pop-ups I can’t close’ or ‘Oh, you are the ones showing…