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, the Intelligent Systems Group, will be presented by one of 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 Workshop, and one in the Demo track. We already posted Read more…
The ACM RecSys 2023 Doctoral Symposium Chairs accepted the extended abstracts that Tobias Vente and Lukas Wegmeth submitted. Abstracts will be presented by their authors and discussed with the chairs and other students at the conference. The extended abstract was limited to eight pages, and an unusually high amount of Read more…
At the end of last year, we had the pleasure of presenting our publication of Lennart Purucker‘s Master thesis at the 22nd IEEE International Conference on Data Mining (ICDM) in Florida, USA! Lennart worked on Meta-Learning for Subgroup Discovery during his Master’s thesis at the RWTH Aachen University. As part Read more…
We are happy to announce that the ISG Siegen is involved in the organization of the AutoML Conference 2023! Lennart Purucker, one of our Ph.D. students, is the Reproducibility Chair for the AutoML Conference 2023. The Reproducibility Chair is a newly established chair with the goal of enabling and observing Read more…
Update 2023-05: The report is now available on arXiv.org. Prof. Beel was invited to attend the Dagstuhl seminar about ‘Frontiers of Information Access Experimentation for Research and Education‘. The seminar took place from January 15 to January 20, 2023 in Schloss Dagstuhl, and was organized by Christine Bauer (Utrecht University, 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…
With great delight, we had the opportunity to discuss our paper on our vision of a novel way to utilize the advantages of meta-learning in recommender systems at the 2nd Workshop: Perspectives on the Evaluation of Recommender Systems @ ACM Recommender Systems 2022. We had plenty of amazing discussions on Read more…
We had the pleasure to present our work on benchmarking ensembles in Automated Machine Learning (AutoML) at the first international Conference on Automated Machine Learning (AutoML-Conf 2022). We showed how we can use OpenML to create efficient benchmarks for ensembles in AutoML. The AutoML-Conf 2022 provided a great place for Read more…
We are glad that after one and a half years of virtual conferences, we can finally attend a conference physically. The research members of the Intelligent Systems Group Siegen traveled to Amsterdam to attend the 15th ACM Conference on Recommender Systems, where we presented a paper at the Perspectives workshop. Read more…
Auf Einladung des Deutschen Akademischen Austauschdienstes (DAAD) nehme ich am 25. August bei einer Panel-Diskussion auf der GAIN Jahrestagung teil. Ich freue mich dort u.a. neben Prof. Dr. Wolfram Ressel (Rektor der Universität Stuttgart) und Prof. Dr. Andreas Zaby (Präsident der HWR Berlin) einen kurzen Vortrag zu halten, und dann Read more…
AMIR 2019 — The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval — is over, and it was a full success. We had many interesting presentations and around 20 attendees. The following photos give some impressions.
The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS) is over, and it was a full success. This year, AICS celebrated its 30th anniversary and was hosted by Trinity College Dublin’s School of Computer Science and Statistics, the School of Psychology and the Institute of Neuroscience. I had the Read more…
We recently had a paper accepted to iConference. We used click data from Mr DLib, our recommender-as-a-service, to see if users of recommender systems in digital libraries are affected by position bias. We found that users are affected by position bias on average. Some users do seem to examine recommendations Read more…
We are delighted to announce the 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’2018), which we will co-organize together with Rob Brennan, Ruth Byrne, Jeremy Debattista, and a renowned program committee. AICS 2018 takes place from December 6 to 7, 2018 at Trinity College Dublin, more precisely in the Long Room Read more…
The ACM Conference on Recommender Systems (RecSys) is the premier conference to present new research results, systems, and techniques including machine learning and natural language processing relating to recommender systems. This year, the 12th ACM Conference on Recommender Systems takes place in Vancouver, and the call for papers has just been Read more…
We just returned from the 11th ACM Conference on Recommender Systems in Como, Italy. It was an amazing conference, with lots of interesting presentation relating to recommender systems. One of the hot topics at the Recommender Systems Conference was Deep Learning, though, frankly, deep learning did not always seem to deliver promising Read more…
In June the ACM Hypertext 2010 will take place in Toronto. Some days ago I wanted to upload the camera ready versions of three papers being accepted at the conference. And… I was surprised. By email I got a link to a web page (namely
http://www.sheridanprinting.com/acm/sigweb-ht/sigweb-ht.cfm?id=ht104,
http://www.sheridanprinting.com/acm/sigweb-ht/sigweb-ht.cfm?id=ht105, and
http://www.sheridanprinting.com/acm/sigweb-ht/sigweb-ht.cfm?id=ht121)
on which I could upload my camera ready papers, specify the authors, keywords, etc. No password or other kind of authorization had to be entered. Now, guess what. I played around with the URL and tried, for instance, to open the following URLs in my browser.
http://www.sheridanprinting.com/acm/sigweb-ht/sigweb-ht.cfm?id=ht100
http://www.sheridanprinting.com/acm/sigweb-ht/sigweb-ht.cfm?id=ht107
You can probably guess what happened: I could edit the details (and see the private email addresses the primary authors provided) and upload PDF files for the other papers being accepted at Hypertext just by changing the URL. That means, I could have added or modified the author list, changed the title or uploaded a modied PDF.
The screenshot shows the user interface on which I could have changed the data for the paper “Dealing with the Video Tidal Wave: The Relevance of Expertise for Video Tagging” by Sara Darvish and Alvin Chin (here is a list of all papers being accepted at Hypertext 2010)