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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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June 17, 2020

AI2 releases v1 of its free NLP library “AllenNLP” [Michael Schmitz / AI2 @Medium]

AllenNLP is a free, open-source natural language processing platform from AI2, designed so researchers can easily build state-of-the-art models. AllenNLP accelerates the translation of ideas into...
June 15, 2020

OpenAI makes many of its AI models available through an API

OpenAI announced to make its AI models available through an API, including its GPT-3 model. This could be very interesting for recommender systems that rely...
June 14, 2020

The Architecture Used at LinkedIn to Improve Feature Management in Machine Learning Models [Jesus Rodriguez@Medium]

The scale of the machine learning problems that an organization like LinkedIn deals with results incomprehensible for data scientists. Building an maintaining a single, effective...
June 9, 2020

Deadline for Demo Submissions to the ACM RecSys Conference Extended by 2 Weeks to the 22nd of June

The ACM Conference on Recommender Systems extends its deadline for Demo submissions to the 22nd of June. We have updated our conference calendar accordingly....
June 9, 2020

IBM gets out of facial recognition business, calls on Congress to advance policies tackling racial injustice [Lauren Hirsch @ CNBC]

Face recognition is a potentially interesting technique for recommender systems (e.g. 1, 2, 3, 4). However, IBM decided now to stop all facial recognition business...
June 4, 2020

Why is there no ‘International Journal on Recommender Systems’?

The data mining community has it, the information retrieval community has it, and the machine learning & AI community has it: (top) journals. It seems...
June 1, 2020

Dataset search: a survey [Chapman et al. 2020]

Finding recommender-system datasets is a challenge. The survey by Chapman et al. may help by providing a thorough overview of dataset search engines for all...
May 29, 2020

Advice on Reviewing for EMNLP — and ACM RecSys? [EMLP Blog]

The Conference on Empirical Methods in Natural Language Processing (EMNLP) has published a nice blog post on how to write conference reviews. It also points...
May 25, 2020

Announcing NVIDIA Merlin: An Application Framework for Deep Recommender Systems [NVIDIA Blog]

Recommender systems drive every action that you take online, from the selection of this web page that you’re reading now to more obvious examples like...
May 23, 2020

Survey on the Importance and Availability of Information Around Recommender Systems

Recommender-Systems.com (RC_c) is our attempt to build a central platform for the RecSys community. Our goal is to provide information and resources relating to recommender-systems...

Posts pagination

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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

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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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