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The document discusses the advancements and future directions of generative recommendation models, emphasizing the integration of large language models (LLMs) to enhance recommendation systems. It highlights the benefits of LLMs, such as world knowledge and natural language understanding, which can address issues like data sparsity and improve user interaction. The presentation also outlines various approaches for aligning LLMs with recommendation tasks, including the use of collaborative embeddings and mul
- Author
- Trung Trần Thành
- Language
- EN