hongleizhang/RSPapers
A curated list of must-read papers on recommender systems covering deep learning, LLMs, and agentic approaches.
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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.
Frequently asked
- What is hongleizhang/RSPapers?
- A curated list of must-read papers on recommender systems covering deep learning, LLMs, and agentic approaches.
- Is RSPapers open source?
- Yes — hongleizhang/RSPapers is open source, released under the MIT license.
- How popular is RSPapers?
- hongleizhang/RSPapers has 6.5k stars on GitHub.
- Where can I find RSPapers?
- hongleizhang/RSPapers is on GitHub at https://github.com/hongleizhang/RSPapers.