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…
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 choice of datasets. In a 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 this study, we estimate the 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 but emphasizes the need for 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 the Taiwanese food and a 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 and related fields, including recommender 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 nicht und sie beschwerten sich. 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 agreement will support exchanges and 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 the Department of Mathematics and Read more…
I am honoured to be appointed Chair of the Examination Board (German: “Prüfungsausschussvorsitzender”) for the Mechatronics study program at the University of Siegen. Initiated in the fall of 2001, this Master’s Program is an interdisciplinary initiative presented by the Department Read more…
Recently, we were delighted to learn that our paper “Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems” was accepted for the “Full Paper” track at the ECIR 2024. The paper, co-authored by members of our chair, Read more…
The Germany Academic Exchange Service (DAAD – Deutscher Akademischer Austauschdienst) invited its alumni to Berlin to discuss recent advances in generative artificial intelligence. Dr. Holger Finken, Cordula Behrsing and Jana Zettler organized the event. Prof. Dr. Ute Schmid held the Read more…
Our Ph.D. students, Tobias Vente, and Lukas Wegmeth, will attend the ACM RecSys 2023 conference in Singapore to present their latest work on Automated Recommender Systems (AutoRecSys) with four papers: two in the Doctoral Symposium, one in the PERSPECTIVES 2023 Read more…
As part of my research visit to the University of Gothenburg, I am glad to announce that I will be giving a seminar on “The ‘unreasonable’ effectiveness of Graphical User Interfaces for Recommender Systems”. The seminar will take place at Read more…
I am delighted to announce that I am visiting Alan Said and his research group at the University of Gothenburg for a knowledge exchange about sustainable recommender systems and machine learning. Sweden’s innovation agency VINNOVA has approved funding for three Read more…