https://www.infoq.com InfoQ Modeling feed https://www.infoq.com/presentations/foundation-models-ranking/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Modeling <img src="https://res.infoq.com/presentations/foundation-models-ranking/en/mediumimage/moumita-bhattacharya-medium-1768986504738.jpg"/><p>Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.</p> <i>By Moumita Bhattacharya</i> Transcripts Modeling Artificial Intelligence QCon London 2025 AI, ML & Data Engineering presentation Wed, 28 Jan 2026 17:03:00 GMT https://www.infoq.com/presentations/foundation-models-ranking/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Modeling Moumita Bhattacharya 2026-01-28T17:03:00Z /presentations/foundation-models-ranking/en