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RS_c

Welcome to RS_c, the central platform for the RecSys community. We provide curated lists of recommender-systems datasets, algorithms, books, conferences and many resources more. Maybe most importantly, we publish the latest recommender-system news. If you want your news to be reported on RS_c, read here.
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Daily/Weekly Digest

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Recent Comments

  • John Yu on RS_c creates a map of RecSys researchers around the world
  • Thomas Werder on “Recommendation” is the most popular term at the SIGIR 2020 conference — what does that mean for the RecSys community?
  • Sofía Fernandez on Industry Sponsors of the ACM RecSys Conference over the Years / Quiz (Predict sponsors for 2022: Win Beer or Wine)

Tag Cloud

ACM ACM Conference on Recommender Systes (RecSys) ACM Transactions on Recommender Systems Alan Said Amazon API arXiv Automated Machine Learning (AutoML) Automated Recommender Systems (AutoRecSys) Bamshad Mobasher Call For Papers (CfP) Dietmar Jannach Even Oldridge Francesco Ricci Google Joeran Beel Joseph A. Konstan Julian McAuley Li Chen Marcel Kurovski Markus Zanker Medium Michael Ekstrand Microsoft Natural Language Processing (NLP) Netflix News Recommendations NVIDIA NVIDIA Merlin Paolo Cremonesi Privacy RecSys Challenge RecSyS Conference research-paper recommendations SIGIR Spotify TechCrunch TensorFlow Tracking YouTube

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