Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan

Industry Trend - Recommendation and search systems have been significantly impacted by advances in language modeling, evolving from Word2vec to GRUs, Transformers, and BERT [1] - The emergence of large language models (LLMs) is driving innovation in model architecture, scalable system designs, and customer experiences within recommendation and search systems [1] - The industry is exploring real-world implementations and measurable outcomes of LLMs in recommendation and search systems [1] Technological Advancement - LLM-driven techniques are expected to shape the future of content discovery and intelligent search [1] - Amazon is building recommendation systems and AI-powered products using ML/AI [1]