Update of the RecSys Expert Map
We updated our recommender-systems expert map to a new system. It’s not yet perfect, e.g. for some entries the roles are missing, and members of the ACM TORS editorial board cannot yet be automatically parsed (“thank you” Cloudflare). But in general, it’s much nicer to use. Different experts in the same location are grouped together, and there is a sortable table view.
Austria is the country with the highest number of top (female) RecSys researchers
‘Recsperts’ releases its 20th episode; This time on Practical Bandids and Travel Recommendations
Joseph (‘Joe’) A. Konstan runs for the ACM presidency
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).