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 Read more…
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: Read more…
Joeran BeelUniversity of Siegen, Siegen, GermanyRecommender-Systems.com, Düsseldorf, GermanyORCID: 0000-0002-4537-5573 FRAME’26: Methodology First – Rethinking Research Assessment in RecSys Workshop, September 28, 2026, Minneapolis, Minnesota, USA Abstract Offline recommender-system evaluations often end with one selected score Read more…
AI is starting to take over substantial parts of science. The idea of an AI Scientist is decades old, and AI contributed to scientific breakthroughs long before 2026. But something changed this year. AI agents Read more…
Ina Brandes, Ministerin für Kultur und Wissenschaft des Landes Nordrhein-Westfalen, hat die Geförderten des NRW-Rückkehrprogramms zu einem Alumni-Treffen nach Düsseldorf eingeladen. Ich bin einer davon. Bis 2020 war ich Assistant Professor am Trinity College Dublin. Read more…
I have published a new pre-print on ResearchGate: Two Decades After the Robot Scientist: A Survey of AI Scientists, Autonomous Research, and Why Validation Still Sets the Pace It has 83 pages, 340 references, and Read more…
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 Read more…
Abstract. FINALLY is a web-based recommender system for dataset selection in RecSys experiments. It supports a decision often made manually or by convention: choosing datasets to evaluate a recommendation algorithm offline. With FINALLY, users choose Read more…
This blog post is part of our series on potential Bachelor’s and Master’s theses. If you want us to supervise your thesis, contact us. If you just stumbled upon this blog post and want to Read more…
Liebe Studierende der Universität Siegen, wenn Sie irgendwann in Ihrem Leben ein Start-up gründen wollen, dann tun Sie es nicht „irgendwann“. Tun Sie es jetzt — während des Studiums oder direkt danach. Nicht, weil es Read more…
We released OmniRec 1.0.0, the first major version of our open-source Python library for reproducible and interoperable recommender systems experimentation. OmniRec was recently presented by Philipp Meister at ECIR 2026 in Delft, where he introduced Read more…
This semester, I introduced a custom GPT tailored to my Introduction to Machine Learning lecture. The goal is simple: provide students with an additional, always-available resource that supports learning, exam preparation, and communication. The system Read more…
We announce LensKit-Auto 0.1.1, our open-source AutoRecSys library built on the Python LensKit recommender system framework. What is LensKit-Auto? Originally introduced as a Demo paper at the 17th ACM Conference on Recommender Systems (RecSys 2023), Read more…
We are excited to announce that our research assistant, Philipp Meister, recently presented our demo paper on OmniRec as a poster at ECIR 2026 in Delft. OmniRec is a new open-source Python library for unified Read more…
Zusammenfassung: Eine Kundin kauft Babygrieß bei Rossmann, meint ranzigen Geruch wahrzunehmen und reklamiert. In der Filiale wird die Kundin nach ihrer Darstellung nach langer Diskussion des Ladens verwiesen und die Rücknahme mit Argumenten verweigert, die Read more…
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 Read more…
Zusammenfassung: Mein zweiter echter Fall für den „KI-Anwalt“ ChatGPT – und diesmal mit einem ganz anderen Ausgang. Gegen die LVM hatte ChatGPT mich bei einer Klage unterstützt, die ich am Ende verlor. Diesmal ging es Read more…
How to cite this blog post:Joeran Beel, Moritz Baumgart, and Philipp Meister. 2025. AutoRecLab Alpha: Bringing the AI Scientist to Recommender Systems. ISG Blog, 28 October 2025. Today, we are releasing AutoRecLab Alpha, our first Read more…
We are excited to share that our PhD student, Tobias Vente, presented our research paper, “APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection”, at the ACM RecSys 2025 conference held at the O2 Universum Convention Center in Prague, Czechia The Read more…
We are pleased to announce that our paper, “Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization,” has been accepted for publication in ACM Transactions on Recommender Systems (TORS). It is already Read more…
Last week, the ISG team—Prof. Joeran Beel, Moritz Baumgart, Lukas Wegmeth, Tobias Vente, and Philipp Meister—attended the ACM RecSys 2025 conference held at the O2 Universum Convention Center in Prague, Czechia. As the premier venue for recommender systems Read more…
Alan Said, chair of the ACM RecSys steering committee, just announced that the ACM Recommender Systems Conference (RecSys) 2027 will take place in Hawaiʻi. I, Joeran Beel, will serve as General Co-Chair together with Christine Read more…
I am pleased to announce that Lukas Wegmeth has completed his PhD in computer science after 3.5 years, earning a magna cum laude. The early completion is a success for him and, frankly, a loss Read more…
Following my recent visit to Prof. Min-Yen Kan at the National University of Singapore, Moritz Baumgart, Min-Yen Kan and I co-authored a paper critically evaluating Sakana’s AI Scientist (to be published in SIGIR Forum). Our Read more…