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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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March 24, 2020

IntRS@RecSys2020: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

The IntRS workshop series focuses on the “human side” or recommender systems. Its goal is to integrate modern HCI approaches and theories of human decision...
March 24, 2020

Impact@RecSys2020: The 2nd Workshop on the Impact of Recommender Systems

The research literature that considers such more direct measurements of impact of recommender systems on the various stakeholders is comparably scarce and scattered. With the...
March 24, 2020

HealthRec@RecSys2020: 5th Workshop on Health Recommender Systems

Recommendations are becoming evermore important in health settings with the aim being to assist people live healthier lives. Four previous workshops on Health Recommender Systems...
March 24, 2020

fashionX@RecSys2020: Workshop on Recommender Systems in Fashion

Online Fashion retailers have significantly increased in popularity over the last decade, making it possible for customers to explore hundreds of thousands of products without...
March 24, 2020

FAccTRec@RecSys2020: 3rd Workshop on Responsible Recommendation

The 3rd FAccTRec Workshop on Responsible Recommendation at Recys 2020 is a venue for discussing problems of social responsibility in building, maintaining, evaluating, and studying recommender systems,...
March 24, 2020

ComplexRec@RecSys2020: 4th Workshop on Recommendation in Complex Environments

For the past three years (2017, 2018, 2019), the ComplexRec workshop series has offered an interactive venue for discussing approaches to recommendation in complex scenarios that have...
March 24, 2020

CARS@RecSys2020: Workshop on Context-Aware Recommender Systems

The primary goal of the CARS workshop is to revive the CARS topic and broadly discuss the main features of the next generation of CARS...
March 24, 2020

FairUMAP@UMAP2020: 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization

The 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization aims to bring together experts from academia and industry to discuss ethical, social, and...
March 24, 2020

MultiStePS@UMAP2020: Workshop on Personalization for Multi-stakeholder Public Services

Nowadays, with the digital revolution and the increasing popularity and adoption of e-government initiatives, public agencies from all over the world are implementing fully digital...
March 24, 2020

NeuRec@ICDM2020: Workshop on Advanced Neural Algorithms and Theories for Recommender Systems

NeuRec seeks recent, significant work on utilizing neural algorithms for intelligent recommender systems. The workshop calls for papers (up to 8 pages, with an option...

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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

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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) ChatGPT 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 RecSys Challenge RecSyS Conference RecSys Summer School Robin Burke SIGIR Spotify TechCrunch YouTube

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