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...
PodRecs@RecSys2020: Workshop on Podcast Recommendations
In 2019, 51% of the United States population had listened to at least one podcast, according to Edison Research’s “Infinite Dial 2019” research study. The...
ORSUM@RecSys2020: 3rd Workshop on Online Recommender Systems and User Modeling
The objective of this workshop is to foster contributions and bring together a growing community of researchers and practitioners interested in online, adaptive approaches to...
OHARS@RecSys2020: Workshop on Online Misinformation- and Harm-Aware Recommender Systems
The aim of this workshop is to bring together a community of researchers interested in tackling online harms and, at the same time, mitigating their...
IntRS@RecSys2020: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
The IntRS workshop series focuses on the “human side” or recommender systems. Its goal is to integrate modern HCI approaches and theories of human decision...