Benedikt Loepp

Benedikt Loepp I am an assistant professor (Juniorprofessor) for computational social science and data science at the University of Koblenz. My background lies in the intersection of human-computer interaction and machine learning, with a particular interest in recommender systems, especially interactive approaches, user modeling, and preference elicitation. In my current work, I focus on exploring digital human behavior in data-intensive real-world systems to understand and improve their adoption based on user-centric insights, as well as on creating accessible AI-based decision-support tools to assist individuals by incorporating interventions based on mixed-methods user experience research.

I received a bachelor’s degree (2011) and a master’s degree (2013) in Applied Computer Science as well as a PhD in Computer Science (Dr.-Ing.) from the University of Duisburg-Essen. From 2012 to 2023, I worked there as a doctoral researcher and as a postdoc in the Interactive Systems group. From 2012 to 2020, I was also the coordinator for computer science in the MINTroduce project at the University of Duisburg-Essen, in which I supported first-year students and was responsible for the department's preliminary courses. Moreover, I was involved in the colognE-mobil project part II and contributed to several research developments, e.g., the concept of blended recommending, the TagMF framework, the archaeological sandbox, and several GWAPs. In addition to research, I enjoyed my teaching activities, including a course on recommender systems.

For many years, I was the webmaster of the official ACM RecSys website, serving as web chair for the conference until 2020. For RecSys, I was also active as student volunteer chair and proceedings chair, and as publicity chair for ACM UMAP in 2021. 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. I was a member of the Global Young Faculty VII and co-founded the GI group on User-centered AI.

Please also visit my page at the University of Koblenz.  














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.