hongleizhang/RSPapers
A curated list of must-read papers on recommender systems covering deep learning, LLMs, and agentic approaches.

This repository aggregates research papers and tutorials on recommender systems, organizing content across topics like deep learning-based approaches, social recommendation, click-through rate prediction, knowledge graph integration, and conversational systems. Recent additions cover large language models for recommender systems and agentic recommender systems, making it a comprehensive academic resource for researchers and practitioners in the recommendation domain.