Benedikt Loepp

Benedikt Loepp I am a reseacher with a PhD in computer science (Dr.-Ing.). Currently, I'm working in the Interactive Systems research group at University of Duisburg-Essen. My research interests are at the intersection of human-computer interaction and machine learning, focusing on recommender systems, especially interactive approaches and preference elicitation methods, but also on novel methods to provide decision support in AI-based systems.

From 2012 to 2020, I was coordinator for computer science in the MINTroduce project, in which I supported study beginners at the university and was responsible for the preliminary courses of the department. Moreover, I was involved in the colognE-mobil project part II and contributed to several research developments, e.g., Blended RecommendingTagMF, and the Archaeological Sandbox. In addition to research, I enjoy my teaching activities, including a lecture on Recommender Systems.

For many years, I was webmaster of the official ACM RecSys website, serving until 2020 as web chair for the conference. For RecSys, I was also active as student volunteer chair and proceedings chair, and managed publicity for ACM UMAP in 2021. Moreover, I regularly serve as a committee member and reviewer for a variety of journals and conferences, including CHI, Frontiers AI, IJHCS, INTERACT, IUI, RecSys, and UMAP. Moroever, I'm co-founder of the GI group on User-centered AI and member of the Global Young Faculty VII.

Please visit my page at the Interactive Systems research group to find out more about my academic experiences.

Important note: The University of Duisburg-Essen has been subject to a cyber attack on Sunday, 27th November, 2022. For this reason, neither my page at the Interactive Systems research group nor the mail address mentioned below are working. Please contact me via social media (see also below) or use the mail address mentioned here.   













A list of publications is also available in the digital library of the University of Duisburg-Essen, via ORCID iD iconORCID (iD: 0000-0001-9059-5324), or in my Google Scholar profile.