#10 · Primary category: Recommender Systems

Reco-papers

deep-learning exploration-exploitation machine-learning recommendation recommender-system reinforcement-learning

Classic papers and resources on recommendation

Project last updated:10/16/25

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3.6K

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813

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3

License

MIT

Why we included this project

Reco-papers is a reading list assembled by an engineer who picked entries from what he actually read or implemented on the job, covering papers, learning materials, and industry talks. The papers are grouped by where they sit in a production pipeline, retrieval, reranking, pre-ranking, rather than by year, so the list works like a guided tour of how large-scale recommender systems get built. That structure helps if you are preparing for an industrial recsys role, and researchers get a clear view of how ideas evolved from early methods to recent deployments. Since it is a curated index of documents rather than runnable code, the value is the reading path itself, already vetted by someone in the field.

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