“Recommender Systems – Frontiers in Big Data” has published 18 articles since its launch
We regularly report about the ACM TORS journal, but there is another journal for recommender systems research: The “Recommender Systems” journal that is part of the “Frontiers in Big Data” series. The Recommender Systems journal even was launched a few months before ACM TORS was announced. While the Frontiers Media publisher is subject to criticism, this does not apply to all of its journals, including the “Recommender Systems” journal, which was initiated by Prof. Bart Goethals and publishes rigorously peer-reviewed research with an editorial board that reads like the who-is-who of the recommender-systems community.
Since its launch, “Recommender Systems” has published 18 articles, and it’s worth having a look at them.
Call for Papers: Special Issue on Data Science for Next-Generation Recommender Systems
Special Issue CfP: “Perspectives on Recommender Systems Evaluation” in ACM TORS
Volume 1, Issue 1 of ACM TORS published
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).