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cs.IR2026
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
Qiang Zhang, Hanchao Yu, Ivan Ji +14
Recent years have witnessed success of sequential modeling, generative recommender, and large language model for recommendation. Though the scaling law has been validated for seque…
cs.IR2025★ 1 cited
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…