RecSys@NeurIPS2020: 4 Papers about Recommender Systems
NeurIPS 2020 will start in a few days. Given the importance of machine learning for recommender systems, there are many relevant papers. In addition, there...
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...
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). …...
CORE Conference Ranking 2020 Removes JCDL and other Digital Library Conferences from its Database
The ACM/IEEE Joint Conference on Digital Libraries (JCDL) is the premier conference in the field of digital libraries and, besides the ACM RecSys, a good...
SIGIR 2020 Summer School Programme Online
SIGIR provides a great summer school this year with interesting talks about personalized search, offline evaluation of information retrieval (IR) systems and many more. https://sigir.org/sigir2020/summer-school/...
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...
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...
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....
RecSysChallenge@RecSys2020
The RecSys Challenge 2020 will be organized by Politecnico di Bari, Free University of Bozen-Bolzano, TU Wien, University of Colorado, Boulder, and Universidade Federal de Campina Grande, and sponsored by Twitter....
REVEAL@RecSys2020: Workshop on Bandit and Reinforcement Learning from User Interactions
State-of-the-art recommender systems are notoriously hard to design and improve upon, due to their interactive and dynamic nature. In particular, they involve a multi-step decision-making...