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 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 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 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, 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. 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 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 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 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 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 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. 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 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 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 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 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 Read more…
Accepted for publication as late-breaking-result (LBR) at the 18th ACM Conference on Recommender Systems. Read the article as PDF here. Abstract When designing recommender-systems experiments, a key question that has been largely overlooked is the Read more…
Full pre-print as PDF: https://arxiv.org/abs/2408.08203 Abstract As global warming soars, the need to assess the environmental impact of research is becoming increasingly urgent. Despite this, few recommender systems research papers address their environmental impact. In Read more…
The German Research Association (Deutsche Forschungsgemeinschaft, DFG) recently issued guidelines for using artificial intelligence, including tools like ChatGPT, to write research papers and grant applications. The DFG supports using AI for these purposes, excluding reviews Read more…
I recently enjoyed spending one week in Taipei, Taiwan, attending the PAKDD 2024 conference and meeting a few colleagues. Despite a full schedule, I had enough time to explore the city and get to know Read more…
This proposal is also available as pre-print (PDF) on OSF.io. If you want to cite this proposal, please cite: Introduction K-fold cross-validation is widely regarded as a robust method for model evaluation in machine learning Read more…
Im Mai 2023 veröffentlichte ich einen Tweet auf Twitter Beitrag auf X. Dort zeigte und kommentierte ich Statistiken, dass eine große Anzahl vorwiegend indischer Studenten in einer meiner Vorlesungen plagiierte. Einigen Personen gefiel dieser Beitrag Read more…
We proudly announce that the Department of Electrical Engineering and Computer Science at the University of Siegen and the Department of Applied Information Technology at the University of Gothenburg have signed an Erasmus agreement. The Read more…
Tobias spent two weeks with Bart Goethels and his team at the ADReM Data Lab at the University of Antwerp. He worked on novel recommender system algorithms incorporating ensembling techniques during this time. Located within Read more…