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Welcome to RS_c – the central platform for the RecSys community. Access curated collections of datasets, algorithms, books, conferences, and other resources, while staying up-to-date with the latest recommender system news. Got news to share? Learn how to feature your updates on RS_c.
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Recent Comments

  • ACM TOIS, the Big Sister of ACM TORS: Min Zhang’s Term as Editor-in-Chief Ends as the Impact Factor Rises to 11.2 – RS_c on ACM TORS enters the Chinese CCF ranking: Does it matter and what are the consequences?
  • ACM TORS enters Web of Science: another step in the journal’s maturation – RS_c on ACM TORS Raises the Bar: The New Policy for Better Reproducibility in Offline Studies
  • ACM TORS enters Web of Science: another step in the journal’s maturation – RS_c on ACM TORS enters the Chinese CCF ranking: Does it matter and what are the consequences?
  • ACM TORS Enters the Chinese CCF Ranking: Better Papers, More Junk, Harder Triage? – RS_c on The “ACM Transactions on Recommender Systems” (ACM TORS) is revealed during the ACM RecSys Conference 2021
  • ACM UMAP conference now A-ranked: What does it mean for the RecSys community? – RS_c on 115 Recommender-Systems Papers accepted at SIGIR 2022

Tag Cloud

ACM ACM Conference on Recommender Systems (RecSys) ACM RecSys 2026 ACM Transactions on Recommender Systems Alan Said Amazon Automated Machine Learning (AutoML) Automated Recommender Systems (AutoRecSys) Bamshad Mobasher Bart Goethals Call For Papers (CfP) Dietmar Jannach Even Oldridge Francesco Ricci Google Joeran Beel Joseph A. Konstan Julia Neidhardt Julian McAuley LensKit Li Chen Marcel Kurovski Markus Zanker Medium Michael Ekstrand Natural Language Processing (NLP) Netflix News Recommendations NVIDIA NVIDIA Merlin Recsperts RecSys Challenge RecSyS Conference Reproducibility Robin Burke SIGIR Spotify TechCrunch UMAP YouTube

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