Benedikt Loepp (former member)

Benedikt worked as a doctoral researcher and as a postdoc in the Interactive Systems group. His research focused at the intersection of human-computer interaction and machine learning, in particular, on recommender systems, including interactive approaches, user modeling, and preference elicitation methods. Moreover, he investigated novel methods to provide decision support in AI-based systems and in gaining a better understanding of their users.

Benedikt started a new position in September 2023 as an assistant professor (Juniorprofessor) at the University of Koblenz.

For more information, please visit Benedikt’s personal website.

Thesis

Contact

Mail
Web https://benedikt.loepp.eu

Selected publications

How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective

User-centered recommender systems

How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective

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

Empfehlungssysteme

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

All 39 publication