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…
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…
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 of Electrical Engineering and Computer Sciences in collaboration with the 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 the University of Gothenburg, on Friday, 8th of September, 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 research visits over the next twelve months. During this time Read more…
The German VDE Bergisch Land-Südwestfalen offers stipends for students who are writing their Bachelor’s or Master’s thesis. The stipend accumulates up to a total of €1,800 (6 months á €300). The stipend aims at students in the field of electrical engineering, electronics, information technology, and related technologies (e.g. medical technology), Read more…
I am honored and glad to be invited again to continue to serve on the scientific advisory board of the German Academic Exchange Service (Deutscher Akadademischer Austauschdienst – DAAD), for the IFI program. The IFI program aims at young researchers from Master’s level to postdocs, who work in the field Read more…
On April 18 and 19, 2023, the Model-based Engineering Group and the Intelligent Systems Group, both at the University of Siegen, conducted a research retreat. The event featured the following presentations, and many interesting discussions relating to machine learning, recommender systems, databases, and software engineering.
ChatGPT ist derzeit in aller Munde und vollbringt Erstaunliches. Es löst Klausuren, schreibt Aufsätze und Gedichte, programmiert Software und vieles mehr. Ich wollte einmal probieren, ob ChatGPT Humor hat, und nützlich im Bereich (Stadt) Marketing ist. Das Ergebnis ist, wie in so vielen anderen Bereichen, erstaunlich gut. Für die Aufgabe Read more…
I am delighted to announce that Dr. André Klahold will give a guest lecture in my recommender-systems lecture series. The lecture will take place next week, Tuesday, 31 January 2023, at 14:00. Titel: „Recommender Systems for Text“ Abstract: The lecture will provide an overview of the various techniques used for Read more…
Just like last year, our Ph.D. students were part of this year’s AutoML Fall School Hackathon winning team. This year the team consisted of Lennart Purucker, Lukas Wegmeth, Gabriela Kadlecová, Nick Erickson, and Sarah Krebs, and was again titled “Team 42”. This marks the second year in succession that our Read more…
The AutoML Fall School 2022 ends today, and I believe it was a great success. At least I enjoyed giving a guest lecture on AutoML and Recommender Systems and having a very active discussion with the around 70 Master and PhD students who attended. I also took a few photos Read more…
We welcome Lukas Wegmeth as a new full-time Ph.D. student at the Intelligent Systems Group at the University of Siegen. Lukas graduated with a Bachelor’s degree and subsequently with a Master’s degree in Medical Computer Science at the University of Siegen. During his time as a student he worked with Read more…
We are glad to welcome Prof. Burggräf as a guest lecturer in our machine learning lecture series. He will give the lecture on Tuesday, the 11th of January 2022, between 10:15 and 11:45 o’clock (German time). Prof. Burggräf will talk about AI in production. More specifically: In the guest lecture Read more…
Lennart Purucker and Tobias Vente just started their Ph.D. a few months ago, and already won the Hackathon of this year’s AutoML Fall School together with their teammates of “Team 42” (Edward Bergman, Michael Fiegert, Elias Schede, and Gabriela Suchopárová). The Hackathon was based on a Kaggle competition and held Read more…