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GARDRec：面向大语言模型推荐的决策级图接地框架
原标题：GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation
AI 摘要
GARDRec是一个面向大语言模型推荐系统的决策级图接地框架，通过构建语义结构物品表示、个性化图上下文和显式决策特征，增强LLM在下一项推荐中的排序能力。在三个公开基准上的实验表明，GARDRec在多个LLM骨干网络上普遍优于代表性基线。消融和诊断分析验证了图投影、邻域检索、显式决策特征、排序损失和生成校准的贡献。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Computer Science > Information Retrieval Title:GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation View PDF HTML (experimental) Abstract:Large language models (LLMs) offer new opportunities for recommendation by interpreting item descriptions, user instructions, and external knowledge through natural-language prompts. However, existing graph-augmented LLM recommenders often use knowledge graphs mainly as prompt-level evidence, leaving ranking decisions wea
发布时间：2026-08-04 12:00
抓取时间：2026-08-04 12:57
来源机构：arXiv