I am pleased to share that our bachelor student, Leonie Winter, has successfully completed her thesis (arXiv) at my chair — and she did an excellent job. Her work follows up on our earlier study on pruning in recommender-system evaluations 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…
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…
Following our proposal for evidence-based best-practices for recommender systems evaluation and our Dagstuhl manuscript about Best-Practices for Offline Evaluations of Recommender Systems, we are glad to announce Checky, a tool for conference chairs and journal editors to create and manage Read more…
As my research semester in Singapore draws to a close, I find myself reflecting on an incredibly rewarding three months at the National University of Singapore (NUS), where I had the privilege of visiting Prof. Min-Yen Kan and his outstanding Read more…
Rosalind Picard‘s keynote at NeurIPS 2024 sparked quite a controversy, leading to an apology from NeurIPS and Picard herself. I was wondering what ChatGPT thought of her slides. Here is the result: You said: What do you See? ChatGPT said: Read more…
Abstract As recommender systems become increasingly prevalent, the environmental impact and energy efficiency of training these large-scale models have come under scrutiny. This paper investigates the potential for energy-efficient algorithm performance by optimizing dataset sizes through downsampling techniques. We conducted Read more…
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 Read more…
This article (PDF Version) was part of the recent Dagstuhl Seminar “Evaluation Perspectives of Recommender Systems: Driving Research and Education”. The full report should be published soon. Cite as follows: I recall vividly when more than a decade ago – Read more…
Accepted for publication at the International Conference on Artificial Intelligence and Machine Learning Research (CAIMLR). The PDF is available here. Feel free to also read the original proposal that led to the current publication. Abstract In this paper, we present Read more…