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

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

Feature-Driven Interactive Recommendations and Explanations with Collaborative Filtering Approach

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

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Empfehlungssysteme

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

Rating-based preference elicitation for recommendation of stress intervention

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

Rating-based preference elicitation for recommendation of stress intervention

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

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Ein kollaboratives Task-Management-System mit spielerischen Elementen

All 222 publication