Future Directions

DataFunTalk

Jul 2, 2024 · Artificial Intelligence

Application of Large Language Models in Recommendation Systems: Overview and Future Directions

This article provides a comprehensive overview of how large language models (LLMs) are applied in recommendation systems, covering two main paradigms—LLM+RS as a component and LLM as a standalone recommender—detailing their impact on pre‑training, fine‑tuning, prompting, and future research challenges.

Artificial IntelligenceFine‑tuningFuture Directions

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Application of Large Language Models in Recommendation Systems: Overview and Future Directions

DataFunSummit

May 4, 2024 · Artificial Intelligence

Applications of Large Language Models in Recommendation Systems: Overview and Future Directions

This article provides a comprehensive overview of how large language models (LLMs) are integrated into recommendation systems, detailing two main paradigms—LLM as a component and LLM as a standalone system—while discussing their impact on retrieval, ranking, prompting, and outlining future research challenges such as multimodal recommendation, hallucination mitigation, bias reduction, and agent‑based approaches.

Future DirectionsLLMPrompt Engineering

0 likes · 6 min read

Applications of Large Language Models in Recommendation Systems: Overview and Future Directions