Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation

Nanshan Jia, Chenfei Yuan, Yuhang Wu +1

The fast development of Large Language Models (LLMs) offers growing opportunities to further improve sequential recommendation systems. Yet for some practitioners, integrating LLMs…