Catalin-Mihai Barbu (former member)

Catalin Barbu joined the Interactive Systems Group in 2016. Previously, he worked as a researcher at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken and before that as a software developer and business programs manager for IBM in Brno, Czech Republic. He received a master’s degree in computer science from the International University in Germany in 2008.

His research interest lies in the area of intelligent user interfaces, particularly recommender systems. Within the group he is working on user-controllable methods for generating trustworthy recommendations from social media sources.




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

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

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

The impact of emotionality and trust cues on the perceived trustworthiness of online reviews

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

Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations

3cixty: Building comprehensive knowledge bases for city exploration

Towards a Design Space for Personalizing the Presentation of Recommendations

Co-Staying: a Social Network for Increasing the Trustworthiness of Hotel Recommendations

Users’ Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations

User Model Dimensions for Personalizing the Presentation of Recommendations

Enhancing an Interactive Recommendation System with Review-based Information Filtering

Interactive Recommending: Framework, State of Research and Future Challenges

Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources