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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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May 13, 2020

A Survey on Conversational Recommender Systems [Jannach et al.]

Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction...
May 10, 2020

Build a Recommender System in less than 60 minutes with ‘Amazon Personalize’ [Shivek Sachdev@Medium]

Shivek Sachdev wrote a tutorial on how to build a recommender-system with ‘Amazon Personalize’. Bad times! Ever since the Thai government has declared state of...
May 8, 2020

‘Codespaces’: GitHub Offers Code Hosting for Recommender System Development (and other Software Projects)

Developing recommender-systems takes a lot of time and is usually a collaborative effort including software architectures, software and machine learning engineers, software testers and researchers....
May 5, 2020

An NLU-Powered Tool to Explore COVID-19 Scientific Literature [Google AI]

Not exactly a recommender system but more a search engine. Yet, this new tool by Google might be interesting to some in the recommender system...
May 1, 2020

It’s No Joke: Recommender System Beats Humans At Making You Laugh [Michael Yeomans et al. / Diana Gerdeman @ Forbes]

Michael Yeomans et al. published already in October 2019 the paper Making Sense of Recommendations but I just stumbled upon it today, when Dina Gerdeman...
May 1, 2020

A Case For Embeddings in Recommendation Problems [Arnab Bhadury]

Once you have worked on different machine learning problems, most things in the field start to feel very similar. You take your raw input data,...
April 29, 2020

New Book: “Trustworthy Online Controlled Experiments — A Practical Guide to A/B Testing”

The recommender-system (research) community heavily relies on offline evaluations. While I personally always advocated the use of large-scale online studies and A/B tests, conducting these...
April 28, 2020

Why are there no continental chapters of the ACM Conference on Recommender Systems? E.g. the Asian or European Conference on Recommender Systems (RecSysAsia / RecSysEU)?

The number of submissions and participants at the ACM Conference on Recommender Systems is increasing, year by year. Sometimes, the conference is even sold out...
April 28, 2020

Google medical researchers humbled when AI screening tool falls short in real-life testing [Devin Coldeway @TechCrunch]

Google achieved great ‘theoretical accuracy’ on the detection of diabetic retinopathy. However, in the real-world their approach didn’t perform so well. While this is not...
April 27, 2020

Building Recommender Systems, An Introductory List [Arnie B. @Flipboard]

Here is a curated collection of my favourite posts for people starting out in recommender systems and personalization. This was created in preparation for our...

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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) 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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