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

Augmented-Reality-Enhanced Product Comparison in Physical Retailing

Álvarez Márquez, O. J., & Ziegler, J. (2019). In Conference on Mensch und Computer: Proccedings (pp. 55–65). New York: ACM Press.

Kartenbasierte Produktraumdarstellung zur Erhöhung von Transparenz und Steuerbarkeit in Empfehlungssystemen

Kunkel, J., Feldkamp, T., & Ziegler, J. (2019). In Mensch und Computer 2019: Tagungsband. New York: ACM.

Map-based Visualization of Item Spaces for Increasing Transparency and Control in Recommender Systems

Kunkel, J., Feldkamp, T., & Ziegler, J. (2019). In Conference on Mensch und Computer: Proccedings (pp. 695–699). New York: ACM Press.

Integration of Dialog-based Product Advisors into Filter Systems

Kleemann, T., & Ziegler, J. (2019). In Conference on Mensch und Computer: Proccedings (pp. 67–77). New York: ACM Press.

Feature-driven interactive recommendations and explanations with collaborative filtering approach

Naveed, S., & Ziegler, J. (2019). In M. Koolen, T. Bogers, B. Mobasher, & A. Tuzhilin (Eds.), ComplexRec 2019: Workshop on Recommendation in Complex Scenarios: Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019 (Vol. 2449, pp. 10–15). Aachen: RWTH Aachen.

To explain or not to explain: the effects of personal characteristics when explaining feature-based recommendations in different domains

Millecamp, M., Verbert, K., Naveed, S., & Ziegler, J. (2019). In P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, G. Semeraro, & C. M. Willemsen (Eds.), IntRS 2019: Interfaces and Human Decision Making for Recommender Systems: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 19, 2019 (Vol. 2450, pp. 10–18). Aachen: RWTH Aachen.

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

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Loepp, B., & Ziegler, J. (2019). In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys ’19) (pp. 546–547). New York, NY, USA: ACM.

Assessing the Helpfulness of Review Content for Explaining Recommendations

Hernandez-Bocanegra, D. C., & Ziegler, J. (2019). In EARS Workshop at SIGIR’19.

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

Kunkel, J., Loepp, B., Dolff, E., & Ziegler, J. (2019). In Mensch und Computer 2019 – Workshopband (pp. 49–56). Gesellschaft für Informatik e.V.

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.

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. (2019). In 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. (2019). In Proceedings of the Third Workshop on Recommendation in Complex Scenarios (ComplexRec 2019) (pp. 10–15).

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.

All 229 publication

Main research topics

Modelling and Understanding User Behavior

Social Media Engineering

Additional information