Dr.-Ing. Benedikt Loepp

Benedikt received a bachelor’s (2011) and master’s degree (2013, with distinction) in Applied Computer Science from the University of Duisburg-Essen. While studying, he started to work as a student assistant, among others, in the Interactive Systems group. Benedikt joined the group as a researcher in March 2012. From then to 2020, he was coordinator for computer science in the MINTroduce project, in which he supported study beginners and was responsible for the preliminary courses of the department.

In 2013, Benedikt became a full member of the Interactive Systems group. His research focuses on the field of recommender systems, in particular, preference elicitation, interactive recommending, and user studies. At the intersection of these topics, he also started his PhD studies, which, among others, led to several research developments, including Blended Recommending and TagMF. In parallel, Benedikt was involved in the colognE-mobil project part II, where he was responsible for developing smart navigation solutions for intermodal mobility chains, and also contributed to other research developments, e.g., the Archaeological Sandbox and several GWAPs. In March 2021, Benedikt finished his PhD studies and received the degree of Dr.-Ing. (summa cum laude). Currently, Benedikt works on extending his research, being especially focused on novel methods to provide decision support in AI-based systems.

Benedikt also enjoys his teaching activities, including a lecture on Recommender Systems. For many years, he was webmaster of the official ACM RecSys website, serving until 2020 as web chair for the conference. Moreover, he regularly serves as a committee member and reviewer for a variety of journals and conferences, including CHI, Frontiers AI, IJHCS, INTERACT, IUI, RecSys, and UMAP. Most recently, Benedikt co-founded the GI group on User-centered AI and became a member of the Global Young Faculty VII.



Web https://benedikt.loepp.eu
Phone +49 (203) 379-3946
Fax +49 (203) 379-3557
Office LE 412
LSF view

Selected publications

Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems

Towards Multi-Method Support for Product Search and Recommending

On the Convergence of Intelligent Decision Aids


On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Impact of Item Consumption on Assessment of Recommendations in User Studies

Recommending Running Routes: Framework and Demonstrator

Understanding Latent Factors Using a GWAP

All 34 publication

Main research topics

Social media profiles

Recent teaching

Administrative and scientific functions

Review activities