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RS_c

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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Daily/Weekly Digest

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Recent Comments

  • Is SIGIR 2025 desk-rejecting RecSys manuscripts (and then reversing its decision?) – RS_c on “Recommendation” is the most popular term at the SIGIR 2020 conference — time for a joint ACM SIGIR & RecSys Conference?
  • RecSys Summer School 2025 in Vienna Announced: A Must-Attend for Students – RS_c on ACM RecSys 2025 to be held in Prague
  • ACM RecSys 2025 to be held in Prague – RS_c on Green Recommender Systems: A Call for Attention
  • Green Recommender Systems: Down-Sampling Datasets for Energy-Efficient Algorithm Performance – ISG Siegen on Green Recommender Systems: A Call for Attention
  • Green Recommender-Systems at ACM RecSys 2024 – RS_c on Green Recommender Systems: A Call for Attention

Tag Cloud

ACM Conference on Recommender Systems (RecSys) ACM Transactions on Information Systems (ACM TOIS) ACM Transactions on Recommender Systems Alan Said Amazon arXiv 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 Large Language Models (LLM) Li Chen Marcel Kurovski Markus Zanker Medium Michael Ekstrand Natural Language Processing (NLP) Netflix News Recommendations NVIDIA NVIDIA Merlin Privacy Recsperts RecSys Challenge RecSyS Conference RecSys Summer School Robin Burke SIGIR Spotify TechCrunch YouTube

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