6th International Summer School on ‘Resource-aware Machine Learning’ in Dortmund (Sept. 2022)
Given the importance of machine learning for recommender-systems, this summer school may be interesting to people in the recommender-systems community: The 6th Resource-aware Machine Learning International Summer School 2022. It takes place in Dortmund, Germany from 12 to 16 September 2022.
4 out of 9 demo papers at the ACMRecSys conference relate to AutoRecSys
‘Codespaces’: GitHub Offers Code Hosting for Recommender System Development (and other Software Projects)
Trends in Recommendations Systems – A Netflix Perspective (Upcoming Presentation by Anuj Shah, Senior ML Practitioner at Netflix)
About The Author
Joeran Beel
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries. We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).