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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

REVEAL@RecSys2020: Workshop on Bandit and Reinforcement Learning from User Interactions

State-of-the-art recommender systems are notoriously hard to design and improve upon, due to their interactive and dynamic nature. In particular, they involve a multi-step decision-making...
March 24, 2020

PodRecs@RecSys2020: Workshop on Podcast Recommendations

In 2019, 51% of the United States population had listened to at least one podcast, according to Edison Research’s “Infinite Dial 2019” research study. The...
March 24, 2020

ORSUM@RecSys2020: 3rd Workshop on Online Recommender Systems and User Modeling

The objective of this workshop is to foster contributions and bring together a growing community of researchers and practitioners interested in online, adaptive approaches to...
March 24, 2020

OHARS@RecSys2020: Workshop on Online Misinformation- and Harm-Aware Recommender Systems

The aim of this workshop is to bring together a community of researchers interested in tackling online harms and, at the same time, mitigating their...
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...

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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) 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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