A Tutorial on Retrieval-Augmented Generation for LLM-based Recommender Systems
Open Access
- 8 August 2026
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 13339-13342
Abstract
No abstract availableFunding Information
- National Research Foundation of Korea (RS-2024-00406985)
- Institute of Information & Communications Technology Planning & Evaluation (RS-2024-00438638 & RS-2019-II190075)
This publication has 17 references indexed in Scilit:
- Prompt-Augmented LLMs with RAG for Addressing Cold-Start and Sparsity in Online Recommender Systems2026
- Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendationInformation Processing & Management, 2025
- Towards Retrieval-Augmented Large Language Model-Based Conversational Recommender System2025
- Leveraging RAG With Transformer for Context-Based Personalized RecommendationsIEEE Access, 2025
- Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations2025
- Conversational Recommender System Using a Combination of Fine-Tuned GPT-4o and Retrieval-Augmented Generation for Laptop Recommendations2025
- Optimizing Recommendation Systems in E-Learning: Synergistic Integration of Lang Chain, GPT Models, and Retrieval Augmented Generation (RAG)2024
- Federated Recommendation via Hybrid Retrieval Augmented Generation2024
- GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs2024
- A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models2024