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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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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...
April 26, 2020

How to (Not?) Plagiarize: An Example of Plagiarism by Vipul Vekariya & Gautam R. Kulkarni

Plagiarism is a phenomenon that I sometimes observe among my students and I have to admit that students can be surprisingly creative when it comes...
April 24, 2020

Survey of Privacy-Preserving Collaborative Filtering [Elnabarawy et al.]

Collaborative filtering recommendation systems provide recommendations to users based on their own past preferences, as well as those of other users who share similar interests....
April 24, 2020

Why Recommendations On Netflix, Amazon, Or WeChat Could Be More Influential Than You Think [Forbes]

“When’s the last time you saw a movie in a cinema? How about the last time you watched a movie on Netflix? If you’re like...
April 24, 2020

RS_Datasets: Download, Unpack and Read Recommender Systems Datasets into pandas.DataFrame [Darel13712]

rs_datasets “allows you [to] download, unpack and read recommender systems datasets into pandas.DataFrame as easy as data = Dataset().The following datasets are available for automatic...
April 24, 2020

Covid-19 Open Source Project Recommender [Adam Barnhard@TowardsDataScience]

Adam Barnhard “built a COVID-19 Project Recommendation System to help people discover open source projects in the community. [He had] been inspired by how much...
March 28, 2020

Watchworthy’s personalized TV recommendation app will help you find your next binge [TechCrunch]

Ranker, an online publisher that turns crowdsourced lists and fan rankings into a data business, is now turning its attention to the world of streaming...

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ACM ACM Conference on Recommender Systems (RecSys) ACM RecSys 2026 ACM Transactions on Recommender Systems Alan Said Amazon 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 LensKit Li Chen Marcel Kurovski Markus Zanker Medium Michael Ekstrand Natural Language Processing (NLP) Netflix News Recommendations NVIDIA NVIDIA Merlin Recsperts RecSys Challenge RecSyS Conference Reproducibility Robin Burke SIGIR Spotify TechCrunch UMAP YouTube

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