jihoo-kim/awesome-RecSys resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1473 stars · 210 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of recommender system resources including books, conferences, researchers, papers, GitHub repositories, useful sites, and YouTube videos. It serves as a learning and reference hub for people studying recommendation systems.

Use cases

• find books and papers on recommender systems
• discover RecSys conferences and researchers
• find GitHub repositories implementing recommendation algorithms
• learn recommender systems from scratch
• find youtube lectures on recommendation systems
• keep up with recommender system research

When to choose

• you want a single curated index of recommender system learning materials
• you are a student or researcher entering the RecSys field
• you need pointers to papers, books, and reference implementations

When to avoid

• you need a working recommendation engine or library
• you need up-to-date coverage of recent papers (last release 2022)
• you want runnable code rather than a resource list

Facets

learning-resource · maturity maintenance

documentation machine-learning machine-learning data-science awesome-lists tutorials awesome-list recommender-systems curated-list papers recsys web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jihoo-kim/awesome-RecSys")