Publications

Books

• Java by Comparison. Pragmatic Bookshelf. 2018
• Data-driven Destination Recommender Systems. Technical University of Munich. 2023

Peer-reviewed

• Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms. Information Technology & Tourism 2025
• AI-Assisted Data Governance with Data Mesh Manager. ICWS’25
• The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments. International Journal of Human-Computer Studies 2025
• Health-promoting Potential of Parks in 35 Cities Worldwide. Nature Cities 2025
• Automating Data Governance with Generative AI. AIES’25
• Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities. RecSys’24
• Recommending the Duration of Stay in Personalized Travel Recommender Systems. RecTour’22
• Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. UMAP’22
• A Comparative Study of Data-driven Models for Travel Destination Characterization. Frontiers in Big Data 2022
• Navigation by Revealing Trade-offs for Content-based Recommendations. ENTER’22
• Triprec – A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis. WebTour’21
• Analyzing ‘Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval. FILA’20
• Mining Trips from Location-based Social Networks for Clustering Travelers and Destinations. Information Technology & Tourism 2020
• CityRec — A Data-driven Conversational Destination Recommender System. e-Review of Tourism Research 2020
• Modeling Physiological Conditions for Proactive Tourist Recommendations. ABIS’19
• Tourist Trip Recommendations – Foundations, State of the Art and Challenges. Personalized Human-Computer Interaction 2019
• Designing a Conversational Travel Recommender System Based on Data-driven Destination Characterization. RecTour’19
• How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation. RecSys’19
• Identifying Travel Regions Using Location-based Social Network Check-in Data. Frontiers in Big Data 2019
• Analyzing the Importance of JabRef Features from the User Perspective. ZEUS’19
• Code Process Metrics in University Programming Education. ISEE’2019
• Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations. ECIR’2019
• Characterisation of Traveller Types Using Check-in Data from Location-based Social Networks. ENTER’19
• Affective Computing and Bandits: Capturing Context in Cold Start Situations. IntRS’18
• Recommending Crowdsourced Trips on wOndary. RecTour’18
• Data-Driven Destination Recommender Systems. UMAP’18
• Teaching Clean Code. ISEE’18
• Deriving Tourist Mobility Patterns from Check-in Data. LearnIR’18