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 jetzt einfach ist. Eine Unternehmensgründung 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 conduct this project independently of 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 the library and our accompanying 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 is currently only accessible to 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), LensKit-Auto simplifies the labor-intensive parts 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 RecSys experiments with popular libraries 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 AutoRecLab: A Call to Build, 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 Problem: Why RecSys Needs Better 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 available in the ACM Digital 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 research, ACM RecSys gathers leading 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 Bauer and Bamshad Mobasher. Dates 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 for our group. Lukas worked 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 review attracted the attention of Read more…
Over the past semester, several Bachelor students at the University of Siegen undertook a bold challenge in our Machine Learning Praktikum: they didn’t just learn algorithms—they tried to reproduce published machine learning or recommender systems research. Each student or team Read more…
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 Read more…
In diesem Blogpost dokumentiere ich, wie das Landesamt für Besoldung und Versorgung NRW (LBV) versucht hat, mir eine Versorgungsauskunft faktisch zu verwehren, wie anschließend zu meinen Ungunsten entschieden wurde – und wie ich am Ende dennoch rund acht Jahre mehr Read more…
Until recently, AI systems were primarily used for narrow tasks such as analysing large datasets or identifying patterns in complex information. However, with large-language models (LLMs), we are approaching a new frontier: the full automation of the scientific process, from Read more…
We are thrilled to announce that Dr. André Klahold has been appointed an Honorary Professor at the University of Siegen’s Department of Electrical Engineering and Computer Science. This prestigious recognition underscores his significant contributions to artificial intelligence, content management, and Read more…
Earlier this year, we published a post about our paper and tool Checky, the Paper-Submission Checklist-Generator for Authors, Reviewers and LLMs, after its acceptance at ECIR 2025. Now, I’m excited to share my experience presenting the work as a demonstration paper at the Read more…
Lukas Wegmeth & Tobias Vente, both fourth-year Ph.D. students at the Intelligent Systems Group, were invited to SFI MediaFutures in Bergen, Norway, to give a talk on the sustainability of Recommender Systems on April 4th, 2025. Prof. Sole Pera also Read more…
PhD students Lukas Wegmeth and Tobias Vente had the opportunity to visit Tsinghua University in Beijing, China, for a month-long research visit with Professor Min Zhang, a leading expert in recommender systems and information retrieval. Professor Min Zhang is a Read more…
I am honoured to announce that I have been invited to join the ACM Recommender Systems (RecSys) Steering Committee. This invitation is a significant milestone in my career and represents an exciting opportunity to contribute to the development and growth Read more…
As part of his research semester, Prof. Beel visited Prof. Min Zhang at Tsinghua University. Professor Min Zhang is a professor in the Department of Computer Science at Tsinghua University and an influential researcher in information retrieval and recommender systems. Read more…
Abstract. Recently, Sakana.ai introduced the AI Scientist, which claims to automate the entire research lifecycle and conduct research autonomously. This is a concept we call Artificial Research Intelligence (ARI). Achieving ARI would be a major milestone toward Artificial General Intelligence Read more…
Prof. Joeran Beel visited Prof. Li Chen at Baptist University Hong Kong (HKBU) as part of his research semester. During his visit, Prof. Beel delivered a seminar on sustainable recommender systems, attended the HKBU-NVIDIA Joint Symposium 2025, and collaborated with Read more…