Benedikt Loepp, M. Sc.

While studying the bachelor program of Applied Computer Science at the University of Duisburg-Essen, Benedikt Loepp started to work as a student assistant in 2010, among others, in the Interactive Systems group. After having received his bachelor’s degree in 2011, 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 at the university and being responsible for the program’s preliminary courses.

After he finished the university’s master program of Applied Computer Science in 2013 (with distinction), he finally became a full member of the Interactive Systems group. His research focuses on the field of recommender systems, in particular, preference elicitation and interactive recommending approaches. Besides, Benedikt was involved in the ColognE-mobil project part II, where he was responsible for developing smart navigation solutions for intermodal mobility chains. Furthermore, he contributed to several research developments, e.g. Blended Recommending, TagMF, and the Archaeological Sandbox. He also enjoys his teaching activities, including, among others, a lecture on Recommender Systems.

Since 2014, Benedikt is webmaster of the official ACM RecSys website, and regularly serves as web chair for the conference.

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

Selected publications

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (to appear). International Journal of Human-Computer Studies.

Explaining Recommendations by Means of User Reviews

Donkers, T., Loepp, B., & Ziegler, J. (2018). In 1st Workshop on Explainable Smart Systems (ExSS), 11 March 2018, Tokyo, Japan.

Eine Sandbox zur physisch-virtuellen Exploration von Ausgrabungsstätten

Biefang, K., Kunkel, J., Loepp, B., & Ziegler, J. (2017). In Mensch und Computer 2017 – Workshopband. Gesellschaft für Informatik e.V.

Sequential User-based Recurrent Neural Network Recommendations

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

Enhancing an Interactive Recommendation System with Review-based Information Filtering

Feuerbach, J., Loepp, B., Barbu, C.-M., & Ziegler, J. (2017). In P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, N. Tintarev, & C. M. Willemsen (Eds.), IntRS 2017: Interfaces and Human Decision Making for Recommender Systems : Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017) (Vol. 1884, pp. 2–9).

Innovative Produkte und Dienstleistungen in der Mobilität: Technische und betriebswirtschaftliche Aspekte

Loepp, B., & Ziegler, J. (2017). In H. Proff & M. T. Fojcik (Eds.), Innovative Produkte und Dienstleistungen in der Mobilität: Technische und betriebswirtschaftliche Aspekte (pp. 409–426). Wiesbaden: Springer Fachmedien.

On User Awareness in Model-Based Collaborative Filtering Systems

Loepp, B., & Ziegler, J. (2017). In Proceedings of the 1st Workshop on Awareness Interfaces and Interactions (AWARE ’17).

A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering

Kunkel, J., Loepp, B., & Ziegler, J. (2017). In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI ’17) (pp. 3–15). New York, NY, USA: ACM.

Interactive Recommending: Framework, State of Research and Future Challenges

Loepp, B., Barbu, C.-M., & Ziegler, J. (2016). In Proceedings of the 1st Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS ’16) (pp. 3–13).

Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags

Donkers, T., Loepp, B., & Ziegler, J. (2016). In Poster Proceedings of the 10th ACM Conference on Recommender Systems (RecSys ’16).

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

Donkers, T., Loepp, B., & Ziegler, J. (2016). In Proceedings of the 24th Conference on User Modeling Adaptation and Personalization (UMAP ’16) (pp. 169–173). New York, NY, USA: ACM.

Merging Latent Factors and Tags to Increase Interactive Control of Recommendations

Donkers, T., Loepp, B., & Ziegler, J. (2015). In Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys ’15).

3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen

Kunkel, J., Loepp, B., & Ziegler, J. (2015). In Mensch und Computer 2015 – Tagungsband (pp. 123–132). Berlin: De Gruyter Oldenbourg.

Merging interactive information filtering and recommender algorithms: model and concept demonstrator

Loepp, B., Herrmanny, K., & Ziegler, J. (2015). In i-com (Vol. 14, pp. 5–17).

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques

Loepp, B., Herrmanny, K., & Ziegler, J. (2015). In Proceedings of the 33rd International Conference on Human Factors in Computing Systems (CHI ’15) (pp. 975–984). New York, NY, USA: ACM.

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Main research topics

Recent teaching

Administrative and scientific functions

Selected review activities