Large Language Model with Graph Convolution for Recommendation

[PDF] arxiv.org

A survey of generative search and recommendation in the era of large language models

Y Li, X Lin, W Wang, F Feng, L Pang, W Li, L Nie… - arXiv preprint arXiv …, 2024 - arxiv.org
With the information explosion on the Web, search and recommendation are foundational
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
被引用次数：3 相关文章 所有 2 个版本
[PDF] arxiv.org

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

Z Wang, Y Du, Z Sun, H Chua, K Feng, W Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) are emerging as promising approaches to enhance
session-based recommendation (SBR), where both prompt-based and fine-tuning-based …
相关文章 所有 2 个版本