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 from natural-language prompts. Starting from a research idea, AutoRecLab derives explicit experiment requirements, develops and 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 seed datasets, filters, a target set size, and a recommendation strategy. FINALLY returns dataset recommendations 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 us, please be so kind as to cite this blog 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 jetzt einfach ist. Eine Unternehmensgründung ist nie einfach. Aber nie wieder wird eine Unternehmensgründung so 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 students enrolled in the course. What Is a GPT? A 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, Evaluate, and Govern Autonomous Recommender-Systems Research Labs}, author={Joeran Beel and 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 um die verlorene Vintage-Uhr meines Großvaters. Ein Juwelier wollte zunächst nur die 500 Euro weitergeben, 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 in recommender systems. He was consistently productive: ideas turned into 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 Nature, which was preparing an editorial feature on the opportunities 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 selected a recent paper, rebuilt the experimental pipeline, validated (or 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 ruhegehaltsfähige Zeit anerkannt bekommen habe, als zunächst vorgesehen. Das entspricht Read more…
Mitte 2024 verloren mein „KI-Anwalt“ ChatGPT und ich vor dem Amtsgericht Siegen gegen die LVM. Worum es ging, wie die Klage mit KI-Unterstützung entstand und wo ChatGPT dabei gründlich versagte, habe ich im ersten Teil dieser Serie beschrieben. Dort steht auch der ganze Streit um das Garagentor und die 469,10 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 computer-aided writing. Dr. Klahold has been a longstanding collaborator with 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 of the field of recommender systems. The ACM RecSys Steering 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 (AGI) and a prerequisite to achieving Super Intelligence. The AI 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 submission checklists. Abstract. Submission checklists have become increasingly prevalent for 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 Web, Information Retrieval / Natural Language Processing Group (WING). My Read more…
Vor etwa einem halben Jahr endete mein erster Versuch, mit Unterstützung von ChatGPT einen Zivilprozess selbst zu führen. Das Ergebnis vorweg: Wir haben verloren, auf eine ziemlich unbefriedigende Art. Das Amtsgericht hat nicht entschieden, ob meine tatsächliche Position gegenüber der Beklagten richtig oder falsch war. Es hat meine Klage als 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: This image shows a presentation slide. The key elements are: 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 of Antwerpen (Lien Michiels), and some excellent Bachelor and Master 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 – I was a PhD student – Konstan & Adomavicius warned 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 transparency. Therefore, “Scientists should disclose whether, for what purpose, and 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 bit of its culture.
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 systems. Unlike a simple hold-out split, k-fold cross-validation ensures that 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. Zugegebener Maßen ist es schwierig, sich auf X in kurzen Read more…