Recommendation Paper Library

Source Summary

This source records a broader external local library of papers related to LLMs and recommender systems.

Minimal Metadata

• path: D:\Research\LLM\papers\recommendation
• file count: 28
• PDF count: 28
• subdirectory count: 15

Observed Coverage

The top-level filenames and folders indicate strong coverage in:

• sequential recommendation
• explainable recommendation
• conversational recommendation
• job recommendation and bias
• knowledge-graph-enhanced recommendation
• multimodal recommendation
• reasoning and agentic recommendation
• evaluation and benchmarking

Representative Titles

• Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
• ReasoningRec Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
• Tunable LLM-based Proactive Recommendation Agent
• XRec Large Language Models for Explainable Recommendation
• Recommendation as Language Processing (P5)
• Collaborative Large Language Model for Recommender Systems

Representative Subfolders

• AGRec Adapting Autoregressive Decoders with Graph Reasoning for LLM-based Sequential Recommendation
• ALERT An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
• Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation
• ChatCRS Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
• CoRA Collaborative Information Perception by Large Language Model’s Weights for Recommendation

Notes

• This looks like the broadest and most reusable reading library among the three current research sources.
• It likely contains both core papers and specialized subtopics that can later be split into more focused source notes.

Related Pages

• llm-based-recommendation
• 2026-04-21-llm-rec-research-map