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).
… and a fifth paper is also in the pipeline (but was rejected).
Disclaimer: One of the accepted papers and the fifth paper were co-authored by myself.
RecSys@NeurIPS2020: 4 Papers about Recommender Systems
15th ACM Conference on Recommender Systems (RecSys 2021): Call for Papers
ACM RecSys Registration 2024 Opens NOW
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).