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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 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...
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...

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Recent Comments

  • ACM TORS Enters the Chinese CCF Ranking: Better Papers, More Junk, Harder Triage? – RS_c on The “ACM Transactions on Recommender Systems” (ACM TORS) is revealed during the ACM RecSys Conference 2021
  • 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

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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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