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cs.IR2026
SAILRec: Steering LLM Attention to Dual-Side Semantically Aligned Collaborative Embeddings for Recommendation
Xi Wu, Jiale Wang, Zihan Wang +5
Recent LLM-based recommenders enhance language models with collaborative embeddings from user-item interactions, but making such embeddings available does not ensure their proper u…
cs.IR2025★ 1 cited
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Zihan Wang, Jinghao Lin, Xiaocui Yang +4
Large Language Models (LLMs) demonstrate remarkable capabilities in leveraging comprehensive world knowledge and sophisticated reasoning mechanisms for recommendation tasks. Howeve…