Books
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. IEEE 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. AAAI/ACM AIES’25
- Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities. ACM RecSys’24
- Recommending the Duration of Stay in Personalized Travel Recommender Systems. ACM RecTour’22
- Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. ACM 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. Springer ENTER’22
- Triprec – a Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis. ACM WebTour’21
- Analyzing `Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval. IEEE 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. ACM ABIS’19
- Tourist Trip Recommendations – Foundations, State of the Art and Challenges. Personalized Human-Computer Interaction, de Gruyter Oldenbourg 2019
- Designing a Conversational Travel Recommender System Based on Data-driven Destination Characterization. ACM RecSys Workshop on Recommenders in Tourism 2019
- 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. 2nd Workshop on Innovative Software Engineering Education 2019
- Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations. Advances in Information Retrieval, Lecture Notes in Computer Science, Springer 2019
- Characterisation of Traveller Types Using Check-in Data from Location-based Social Networks. Information and Communication Technologies in Tourism, Springer 2018
- Affective Computing and Bandits: Capturing Context in Cold Start Situations. ACM RecSys Joint Workshop on Interfaces and Human Decision Making for Recommender Systems 2018
- Recommending Crowdsourced Trips on wOndary. ACM RecSys Workshop on Recommenders in Tourism 2018
- Data-Driven Destination Recommender Systems. ACM UMAP ‘18
- Teaching Clean Code. 1st Workshop on Innovative Software Engineering Education 2018
- Deriving Tourist Mobility Patterns from Check-in Data. ACM WSDM Workshop on Learning from User Interactions 2018
