AutoRecSys

From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs

Joeran Beel (University of Siegen, Germany) Bela Gipp (University of Göttingen, Germany) Tobias Vente (University of Antwerp, Belgium) Moritz Baumgart (University of Siegen, Germany) Philipp Meister (University of Göttingen, Germany) Pre-Print Abstract Recommender-systems research has accelerated model and evaluation advances, yet largely neglects automating the research process itself. We argue Read more…

By Joeran Beel, ago

Tobias Vente Presents Our Work on AutoML’s Potential for Recommender Systems at ACM UMAP

We are excited to share that our PhD student, Tobias Vente, presented our research paper, “The Potential of AutoML for Recommender Systems,” at the ACM UMAP 2025 conference held at the Verizon Executive Education Center at Cornell Tech on Roosevelt Island, New York City. Tobias presented our work in the Hyper Workshop (Hybrid AI for Human-Centric Personalization), which Read more…

By t_vente, ago
8 Recommender Systems Illustration

ISG will present 8 papers and posters at the ACM Recommender Systems Conference and Workshops

We are thrilled that 8 of our 11 submissions to the 18th ACM Recommender-Systems Conference and Workshops (RobustRecSys and RecSoGood) were accepted for publication. Our research was conducted jointly with partners from the University of Gothenburg (Alan Said), the University of Antwerpen (Lien Michiels), and some excellent Bachelor and Master Read more…

By Joeran Beel, ago