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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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October 7, 2020

Spotify Re-Releases its Million-Playlist Dataset from the RecSys Challenge 2018

In 2018, Spotify co-organized the ACM RecSys Challenge and provided a massive dataset of 1 million playlists consisting of 2 million tracks by around 300,000...
October 2, 2020

LinkedIn introduces “GDMix”, a deep ranking personalization framework

Jun Shi from LinkedIn announced the release of GDMix (GitHub), a deep ranking personalization framework. GDMix stands for Generalized Deep Mixed Model and is… a solution...
September 25, 2020

NVIDIA Team wins the ACM RecSys Challenge 2020

It seems that NVIDIA becomes a new big player in the recommender-system community. After introducing Merlin – a Framework for Deep Recommender Systems – and...
September 24, 2020

TensorFlow introduces ‘TensorFlow Recommenders’ (TFRS)

This is big news for the recommender-system community: Maciej Kula and James Chen from Google Brain announce TensorFlow Recommenders (TFRS), an official recommender-systems package for...
September 21, 2020

Oracle announces Tribuo, a Java machine-learning library [Adam Pocock @ Oracle]

Adam Pocock from Oracle announced the public release of Oracle’s so-far in-house machine-learning library Tribuo. The library is not specifically designed for recommender-systems. Yet, it...
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;...

Posts pagination

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Recent Comments

  • ACM UMAP conference now A-ranked: What does it mean for the RecSys community? – RS_c on 115 Recommender-Systems Papers accepted at SIGIR 2022
  • ACM UMAP conference now A-ranked: What does it mean for the RecSys community? – RS_c on “Recommendation” is the most popular term at the SIGIR 2020 conference — time for a joint ACM SIGIR & RecSys Conference?
  • ACM UMAP conference now A-ranked: What does it mean for the RecSys community? – RS_c on The ACM RecSys Conference becomes an ‘A’ Conference
  • RS_c moves from X/Twitter to LinkedIn as the primary social channel – RS_c on ACM Transactions on Recommender Systems Shifts Social Media Focus to LinkedIn
  • Our work on ‘Green Recommender Systems’ was just accepted for publication at ACM TORS – ISG Siegen on Green Recommender Systems: A Call for Attention

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ACM Conference on Recommender Systems (RecSys) 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 UMAP YouTube

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