Benedikt Loepp, M. Sc.

Benedikt received his bachelor’s (2011) and master’s degree (2013, with distinction) in Applied Computer Science at the University of Duisburg-Essen. Already 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. Since then, he has been administrative coordinator for Computer Science in the MINTroduce project, supporting study beginners and being responsible for the program’s preliminary courses.

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. Besides, Benedikt was involved in the ColognE-mobil project part II, where he was responsible for developing smart navigation solutions for intermodal mobility chains. He contributed to several research developments, e.g. Blended Recommending, TagMF, the Archaeological Sandbox and several GWAPs.

Benedikt also enjoys his teaching activities, including a lecture on Recommender Systems. From 2014 to 2020 he has been webmaster of the official ACM RecSys website and served as web chair for the conference. Moreover, regularly serves as a committee member and reviewer for a variety of journals and conferences. Most recently, Benedikt became one of the founding members of the GI group on User-centered AI.

Contact

Mail
Web https://benedikt.loepp.eu
Phone +49 (203) 379-3946
Fax +49 (203) 379-3557
Office LF 285
LSF view

Selected publications

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

Naveed, S., Loepp, B., & Ziegler, J. (2020). ExUM ’20: Proceedings of the International Workshop on Transparent Personalization Methods Based on Heterogeneous Personal Data, 226–232.

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

Loepp, B., & Ziegler, J. (2019). Proceedings of the 1st Workshop on Impact of Recommender Systems (ImpactRS ’19).

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

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 6201–6205.

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Loepp, B., & Ziegler, J. (2019). Proceedings of the 13th ACM Conference on Recommender Systems (RecSys ’19), 546–547.

LittleMissFits: Ein Game-With-A-Purpose zur Evaluierung subjektiver Verständlichkeit von latenten Faktoren in Empfehlungssystemen

Kunkel, J., Loepp, B., Dolff, E., & Ziegler, J. (2019). Mensch Und Computer 2019 – Workshopband, 49–56.

Empfehlungssysteme

Ziegler, J., & Loepp, B. (2019). In T. Kollmann (Ed.), Handbuch Digitale Wirtschaft. Springer.

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). International Journal of Human Computer Studies, 121, 21–41.

Impact of Item Consumption on Assessment of Recommendations in User Studies

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2018). Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18), 49–53.

Recommending Running Routes: Framework and Demonstrator

Loepp, B., & Ziegler, J. (2018). Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18), 26–29.

Understanding Latent Factors Using a GWAP

Kunkel, J., Loepp, B., & Ziegler, J. (2018). Proceedings of the Late-Breaking Results Track Part of the Twelfth ACM Conference on Recommender Systems (RecSys ’18).

Ein Online-Spiel zur Benennung latenter Faktoren in Empfehlungssystemen

Kunkel, J., Loepp, B., & Ziegler, J. (2018). Mensch Und Computer 2018 – Tagungsband.

Explaining Recommendations by Means of User Reviews

Donkers, T., Loepp, B., & Ziegler, J. (2018). Proceedings of the 1st Workshop on Explainable Smart Systems (ExSS ’18).

Eine Sandbox zur physisch-virtuellen Exploration von Ausgrabungsstätten

Biefang, K., Kunkel, J., Loepp, B., & Ziegler, J. (2017). Mensch Und Computer 2017 – Workshopband.

Sequential User-based Recurrent Neural Network Recommendations

Donkers, T., Loepp, B., & Ziegler, J. (2017). Proceedings of the 11th ACM Conference on Recommender Systems (RecSys ’17), 152–160.

Enhancing an Interactive Recommendation System with Review-based Information Filtering

Feuerbach, J., Loepp, B., Barbu, C.-M., & Ziegler, J. (2017). Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’17), 1884, 2–9.

All 29 publication

Main research topics

Recommender Systems

Context-adaptivity

Smart Mobility Solutions

Tangible User Interfaces

User Experience Research

Recent teaching

Administrative and scientific functions

Review activities