wzhe06/Reco-papers
A curated collection of academic papers and resources on recommendation systems covering retrieval, re-ranking, and ranking models.
Not currently ranked — collecting fresh signals.
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This repository compiles classic and contemporary papers on recommendation systems, organized by topics such as candidate generation, re-ranking, and ranking optimization. It includes resources on multi-task learning, reinforcement learning, and deep learning approaches applied to recommendation, serving as a knowledge base for researchers and practitioners in the field.
Frequently asked
- What is wzhe06/Reco-papers?
- A curated collection of academic papers and resources on recommendation systems covering retrieval, re-ranking, and ranking models.
- Is Reco-papers open source?
- Yes — wzhe06/Reco-papers is open source, released under the MIT license.
- What language is Reco-papers written in?
- wzhe06/Reco-papers is primarily written in Python.
- How popular is Reco-papers?
- wzhe06/Reco-papers has 3.6k stars on GitHub.
- Where can I find Reco-papers?
- wzhe06/Reco-papers is on GitHub at https://github.com/wzhe06/Reco-papers.