wzhe06/Reco-papers resource

Health v2 · maintenance only

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3570 stars · 813 forks observed · 2026-08-28

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

A curated, continuously updated collection of classic and industry papers, learning materials, and talks on recommender systems, organized by topic such as retrieval and rerank, embeddings, cold start, and LLM-based recommendation. It serves as a study and reference resource rather than runnable software.

Use cases

• find classic recommender system papers
• learn deep learning recommendation models
• study retrieval and reranking techniques
• research LLM-based recommendation
• prepare for machine learning interviews on recsys
• find industry practice articles on recommendation systems

When to choose

• you want a curated, topic-organized reading list for recommender systems
• you need industry papers on ranking, embeddings, and exploration-exploitation
• you are studying or teaching recommendation algorithms

When to avoid

• you need runnable recommendation code or a library
• you want a maintained software tool rather than papers and resources

Facets

learning-resource · maturity active

machine-learning rag search-engine machine-learning tutorials awesome-lists data-science cross-platform recommender-system papers curated-list deep-learning reinforcement-learning llm

Member repositories

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markdown · JSON · MCP: product_card(name="wzhe06/Reco-papers")