hongleizhang/RSPapers resource

Health v2 · maintenance only

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Adoption not part of the score

6511 stars · 1344 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated list of must-read papers, surveys, and tutorials on recommender systems, covering topics from collaborative filtering to LLM-based and agentic recommenders. It is a reading resource rather than executable software.

Use cases

• find must-read papers on recommender systems
• learn about deep learning based recommendation
• survey literature on social recommendation
• study LLM and agentic recommender systems
• prepare for research in collaborative filtering

When to choose

• you need an organized reading list for recommender system research
• you want surveys and tutorials across many RS subtopics

When to avoid

• you need runnable recommendation algorithms or code
• you need a dataset rather than paper references

Facets

learning-resource · maturity active

documentation developer-tools machine-learning artificial-intelligence tutorials awesome-lists cross-platform recommender-system papers curated-list collaborative-filtering deep-learning llm survey

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hongleizhang/RSPapers")