What it does
Recommender systems are the AI behind suggestions like 'you might also like' on shopping, video and music sites. RSPapers is a curated list of research papers and tutorials about them.
It is organised by topic, including surveys, deep learning, social recommendations, cold start (suggesting things for new users), explainability, privacy, and newer areas such as using large language models and AI agents.
Who it's for
Students and researchers learning about or working on recommendation systems.
Can I use it without coding?
Yes. It is a reading list you browse on the web. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Web browser
- Computer
- An ordinary computer is fine
- API key
- Not needed
Try it
- Open the project page and pick a topic from the list.
- Start with the tutorials and surveys sections if you are new to the field.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (MIT): Very permissive: free to use, change and share, including for business.
- More on staying safe