Author

Kyungho Kim

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Book Open access Aug 2026

A Tutorial on Retrieval-Augmented Generation for LLM-based Recommender Systems

Recommender systems are essential to real-world online services due to their substantial business value. Increasingly, large language models (LLMs) have been adopted for recommendation tasks, owing to their strong reasoning capabilities and their effectiveness in handling cold-start items. A large body of work has soug...

Sunwoo Kim, Geon Lee, Kyungho Kim et al. · Proceedings of the 32nd ACM... · 0 citations

Preprint Aug 2026

Training-Free LLM-Based Recommendation with Post-LLM Item Refinement Using Collaborative Signals

Large language models (LLMs) have shown promise for training-free recommendation, but LLM-generated user interests are often too broad for fine-grained item retrieval. Existing methods incorporate collaborative filtering (CF) signals in a pre-LLM manner through candidate reranking or prompt augmentation, yielding limit...

Kyungho Kim, Sunwoo Kim, Geon Lee et al. · 0 citations