AutoRecLab

A RecSys Paper for $20: Why We Must Build, Evaluate, and Govern Autonomous Recommender Systems Research Labs (AutoRecLabs)

Joeran Beel1,2, Bela Gipp3, Tobias Vente4, Moritz Baumgart1,3, Philipp Meister3 and Sinan Pourazari1 1 University of Siegen, Siegen, Germany2 Recommender-Systems.com, Düsseldorf, Germany3 University of Göttingen, Göttingen, Germany4 University of Antwerp, Antwerp, Belgium FRAME’26: Methodology First – Rethinking Research Assessment in RecSys Workshop, September 28, 2026, Minneapolis, Minnesota, USA. Abstract Recommender Read more…

By Joeran Beel, ago

“If AI can run an AI or RecSys experiment for $1, why spend four years doing a PhD?” — Keynote and Mentor at the ACM RecSys Doctoral Consortium 2026

My keynote at the Doctoral Consortium of ACM RecSys 2026 in Minneapolis On 27 September 2026, I gave a keynote at the Doctoral Consortium of ACM RecSys 2026 in Minneapolis. The title was deliberately provocative: “When AI Does RecSys Experiments for $1: Why Spend Four Years on a PhD?” The Read more…

By Joeran Beel, ago

AutoRecLab: An Autonomous Recommender Systems Lab

Abstract. Recommender systems (RecSys) research depends on extensive empirical evaluation, yet translating experimental designs into executable code remains a manual, error-prone process. This paper presents AutoRecLab, a Python-based autonomous RecSys lab that automates RecSys experimentation from natural-language prompts. Starting from a research idea, AutoRecLab derives explicit experiment requirements, develops and Read more…

By Joeran Beel, ago

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 @misc{beel2025autorecsysautoreclabbuildevaluate, title={From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs}, author={Joeran Beel and Read more…

By Joeran Beel, ago