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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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November 10, 2021

Craydel raises $1 million to grow its higher education platform and recommender system

Kenyan edtech startup Craydel, a platform for comparing colleges, course options and tuition fees, has secured $1 million in a pre-seed round that will go...
October 19, 2021

Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them [Beel & Dinesh]

The article “Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching Them” provides an in-depth look into the practical and...
September 30, 2021

The “ACM Transactions on Recommender Systems” (ACM TORS) is revealed during the ACM RecSys Conference 2021

A new milestone in the history of recommender systems is being announced: At this very minute, Dietmar Jannach reveals at the ACM RecSys Conference 2021...
September 25, 2021

Industry Sponsors of the ACM RecSys Conference over the Years / Quiz (Predict sponsors for 2022: Win Beer or Wine)

The ACM RecSys Conference 2021 has just started, and a large number of companies support the conference including Google, Facebook, Amazon, Netflix, Twitter, Ebay, Spotify,...
September 21, 2021

On YouTube’s recommendation system [Cristos Goodrow]

Cristos Goodrow, VP of Engineering at YouTube, published a blog post about YouTube’s recommender system that provides “a deeper look into how YouTube’s recommendation system...
September 11, 2021

ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2022 has a RecSys Track

The ACM/IEEE Joint Conference on Digital Libraries has announced its call for papers 2022. The so-far A*-ranked conference has a dedicated ‘Search & Recommendation’ track...
September 3, 2021

ACM SAC 2022 with “Track on Recommender Systems: Theory, User Interactions & Applications”

The 37th ACM/SIGAPP Symposium On Applied Computing (ACM SAC) has a dedicated track on recommender systems, like in many of the previous years. ACM SAC...
September 2, 2021

China seeks feedback on a draft for regulating online recommendations

According to Stanford’s DigiChina Cyber Policy Center, China seeks feedback on a draft for a policy that would regulate companies that use recommender systems. More...
August 13, 2021

Should Recommender Systems Be Exempt From the Post-Tracking Age? [Martin Anderson@Unite.ai

As first-party data gathering becomes the new lodestar for marketers and data brokers, the increased attention on ‘closed’ data-gathering systems risks to drag one of machine...
July 23, 2021

‘AutoML’ is growing up with a summer school and dedicated conference

At this minute, the AutoML Workshop 2021 at the ICML conference is running. And one of the organizers, Frank Hutter, announced an AutoML Summer School...

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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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