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

Integration dialogbasierter Produktberater in Filtersysteme

Kleemann, T., & Ziegler, J. (to appear). Mensch und Computer 2019 (MuC ’19). Hamburg, Germany.

To Explain or Not to Explain: the Effects of Personal Characteristics When Explaining Feature-based Recommendations in Different Domains

Martijn Millecamp, K. V., Sidra Naveed, & Ziegler, J. (to appear). IntRS ’19: Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.

Feature-Driven Interactive Recommendations and Explanations with Collaborative Filtering Approach

Naveed, S., & Ziegler, J. (to appear). ComplexRec ’19: Proceedings of the 3rd Workshop on Recommendations in complex scenarios.

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

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

How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations

Torkamaan, H., Barbu, C.-M., & Ziegler, J. (to appear). Proceedings of the 13th ACM Conference on Recommender Systems. New York, NY, USA: ACM.

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

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

Empfehlungssysteme

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

Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems

Kunkel, J., Donkers, T., Michael, L., Barbu, C.-M., & Ziegler, J. (2019). In Proceedings of the 37th International Conference on Human Factors in Computing Systems (CHI ’19) (pp. 487:1–487:12). New York: ACM.

Rating-based preference elicitation for recommendation of stress intervention

Torkamaan, H., & Ziegler, J. (2019). In ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (pp. 46–50). New York: 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. (2019). In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19) (pp. 6201–6205). IJCAI Organization.

Rating-based preference elicitation for recommendation of stress intervention

Torkamaan, H., & Ziegler, J. (2019). In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP ’19 (pp. 46–50). ACM Press.

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.

All 222 publication

Main research topics

Modelling and Understanding User Behavior

Social Media Engineering

Additional information