Author: Maxime Vono
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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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PETs in Advertising: Scenarios for Trusted Execution Environments
Introduction In our first article, we introduced and compared in a high-level manner two privacy-enhancing technologies (PETs) that are currently being investigated by major browser vendors [1,2] (e.g. Google Chrome & Mozilla Firefox) to address advertising use cases while meeting privacy guarantees. Our second article focused on detailing how some key advertising use cases such…