2025
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
AAAI 2025technical
Contemporary recommendation systems predominantly rely on ID embedding to capture latent associations among users and items. However, this approach overlooks the wealth of semantic information embedded within textual descriptions of items, leading to suboptimal performance and poor generalizations.…