Prof. Dr.-Ing. Jürgen Ziegler

Jürgen Ziegler is a full professor in the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen where he directs the Interactive Systems Research Group. Prior to joining the University, he was head of the Competence Center for Software Technology and Interactive Systems at the Fraunhofer Institute for Industrial Engineering in Stuttgart.

Jürgen Ziegler holds a diploma degree in electrical engineering and biocybernetics from the University of Karlsruhe and a doctoral degree from the University of Stuttgart. His main research interests lie in the areas of human-computer interaction, information visualisation and context-adaptive systems. Current projects of his group focus on context-aware recommender systems, visual interfaces for Semantic Web data, playful social interaction, and adaptive driver assistance in cars.

i-com

Jürgen Ziegler is editor in chief of the German HCI journal i-com: Zeitschrift für interaktive und kooperative Medien. Find out more on the scope of the journal.

Mail
Phone +49 (203) 379-2270
Fax +49 (203) 379-3557
Office LF 291
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Selected publications

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Loepp, B., & Ziegler, J. (to appear). RecSys ’19: Proceedings of the 13th ACM Conference on Recommender Systems. New York, NY, USA: ACM.

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

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

Empfehlungssysteme

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

The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations

Barbu, C.-M., Carbonell, G., & Ziegler, J. (2019). In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 1687–1689). New York: ACM Press.

Visualizing Item Spaces to Increase Transparency and Control in Recommender Systems

Kunkel, J., & Ziegler, J. (2019). In AI and HCI Workshop at CHI’19.

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.

Ein kollaboratives Task-Management-System mit spielerischen Elementen

Kizina, A., Kunkel, J., & Ziegler, J. (2018). In Mensch und Computer 2018: Workshopband. Bonn: Gesellschaft für Informatik e.V.

Multi-criteria rating-based preference elicitation in health recommender systems

Torkamaan, H., & Ziegler, J. (2018). In Proceedings of the Third International Workshop on Health Recommender Systems co-located with Twelfth ACM Conference on Recommender Systems (HealthRecSys’18) (Vol. 2216, pp. 18–23). Aachen.

Impact of Item Consumption on Assessment of Recommendations in User Studies

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

Augmented Reality Based Recommending in the Physical World

Álvarez Márquez, O. J., & Ziegler, J. (2018). In R. Dachselt & G. Weber (Eds.), Mensch und Computer 2018 - Workshopband (pp. 285–291). Bonn: Gesellschaft für Informatik e.V.

Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System

Barbu, C.-M., & Ziegler, J. (2018). In J. Neidhardt, W. Wörndl, T. Kuflik, & M. Zanker (Eds.), RecTour 2018: 3rd Workshop on Recommenders in Tourism co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018) (Vol. 2222, pp. 7–12). Aachen: RWTH.

Recommending Running Routes: Framework and Demonstrator

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

Understanding Latent Factors Using a GWAP

Kunkel, J., Loepp, B., & Ziegler, J. (2018). In 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). In Mensch und Computer 2018 – Tagungsband. Gesellschaft für Informatik e.V.

Argumentation-based explanations in recommender systems: Conceptual framework and empirical results

Naveed, S., Donkers, T., & Ziegler, J. (2018). In UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 293–298). New York, NY, USA: ACM.

All 214 publication

Main research topics

Modelling and Understanding User Behavior

Social Media Engineering

Additional information