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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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July 13, 2020

Free ‘Resource-aware Machine Learning’ summer school in Dortmund, Germany (virtually)

The International Summer School on resource-aware Machine Learning brings together lectures from the research area of data analysis (Machine Learning, data mining, statistics) and embedded...
July 10, 2020

Recommender-System on a Chip? Google lets you design your own (RecSys?) chip architecture — for free. [Philipp Wagner @ FOSSi]

Google and efabless announce that they would let anybody to design their own chip architectures and manufacture those chips free of charge. Maybe it is...
July 2, 2020

Google´s SmartReply comes to YouTube [Rami Al-Rfou @ Google AI Blog]

Google´s SmartReply is a handy feature in Gmail and some other applications, and it can be seen as a recommender system for sentence completion. Now,...
June 30, 2020

Building Personal Recommender Systems with Milvus and PaddlePaddle [Milvus@Medium]

In this article we use PaddlePaddle, a deep learning platform from Baidu, to build a model and combine Milvus, a vector similarity search engine, to...
June 24, 2020

Diego Gómez-Zará receives the Microsoft Research dissertation award for a RecSys to create more diverse teams

For the fourth time, Microsoft offers grants of up to $25,000 to support the research of PhD students nearing the completion of their degrees. One...
June 24, 2020

RecSim: A Configurable Simulation Platform for Recommender Systems [Google AI]

“Significant advances in machine learning, speech recognition, and language technologies are rapidly transforming the way in which recommender systems engage with users. As a result, collaborative interactive recommenders...
June 22, 2020

ICML 2020. Comprehensive analysis of authors, organizations, and countries [Sergei Ivanov @ Medium / Criteo]

Sergei Ivanov published a nice analysis of the authors, affiliations and countries of the ICML 2020 conference. ICML is one of the most important conferences...
June 18, 2020

An Exhaustive List of Methods to Evaluate Recommender Systems [Muffaddal Qutbuddin @TowardsDataScience]

Imagine we have built an item-based recommender system to recommend users movies based on their rating history. And now we want to asses how our model will...
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...

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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

Tag Cloud

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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