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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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September 18, 2020

Mozilla is Crowdsourcing Research into (Harmful) YouTube Recommendations [Ashley Boyd @ Mozilla]

YouTube recommendations can be delightful, but they can also be dangerous. The platform has a history of recommending harmful content — from pandemic conspiracies to...
September 17, 2020

TensorFlow introduces a new ‘end-to-end’ solution for on-device recommendations with TFLite

Ellie Zhou, Tian Lin, Cong Li, Shuangfeng Li, and Sushant Prakash from TensorFlow announced in a blog post that they open-source an end-to-end solution for...
September 16, 2020

50% of the best-paper awards at KDD 2020 go to recommender-systems papers

KDD 2020 has announced its best-paper awards. Out of the 4 awards (3 research track, 1 applied data science track), 2 papers are related to...
September 11, 2020

Google restricts its recommender-system for search queries (aka auto-completion) for election-related searches

Google (Pandu Nayak, VP Search) announced yesterday that Google would expand its “protection” policies to its search-query recommender-system a.k.a. auto-completion for election-related searches. We expanded...
September 10, 2020

A prototype of a “Similar Shoe” (Sneaker) Recommender-System with Source Code [Josh Barua]

Josh Barua created https://runningshoesforyou.com/, a recommender-system for shoe recommendations. Users can provide as input either a specific shoe model or their preferences (comfort; weight; looks;...
September 10, 2020

Case study how simple recommendation techniques improve user experience in e-Commerce [Emilio Carrión @ MercadonaTech]

Emilio Carrión (MercadonaTech) wrote a blog post about how simple recommendations to substitute ‘ghost’ products improve conversion rate and user experience. He defines ‘ghost’ products...
September 8, 2020

NVIDIA launches “Building Intelligent Recommender Systems” online course

NVIDIA announced in their Blog to offer several new online courses, one of them about Building Intelligent Recommender Systems. The courses are taught by James...
September 4, 2020

4 out of 9 demo papers at the ACMRecSys conference relate to AutoRecSys

It’s great to see that 4 out of 9 demo papers at the 2020 ACM Recommender Systems conference relate to Automated Recommender Systems (AutoRecSys). …...
September 4, 2020

Google Podcast gets Personalized Audio News Recommendations [Liz Gannes @ Google]

“Your News Update” is coming to Google Podcast as announced by Liz Gannes, Product Manager News at Google. “Your News Update” was originally introduced in...
September 2, 2020

Facebook documents its recommender system — a little bit. [Sarah Perez @ Techcrunch]

Facebook has not been very open about how its recommender system works exactly. This may be about to change though. Today, Techcrunch announced that Facebook...

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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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