Book
- Java by Comparison, Pragmatic Bookshelf, 2018
Peer-reviewed
- 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
- Navigation by Revealing Trade-offs for Content-based Recommendations. Springer ENTER’22
- A Comparative Study of Data-driven Models for Travel Destination Characterization. Frontiers in Big Data 2022
- Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. ACM UMAP’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
- Online Evaluations for Everyone: Mr. DLib’s Living Lab for Scholarly Recommendations. Advances in Information
Retrieval, Lecture Notes in Computer Science, Springer 2019
- Code Process Metrics in University Programming Education. 2nd Workshop on Innovative Software Engineering Education
2019
- How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation. RecSys’19
- Designing a Conversational Travel Recommender System Based on Data-driven Destination Characterization. ACM RecSys
Workshop on Recommenders in Tourism 2019
- Tourist Trip Recommendations – Foundations, State of the Art and Challenges. Personalized Human-Computer Interaction,
de Gruyter Oldenbourg 2019
- Modeling Physiological Conditions for Proactive Tourist Recommendations. ACM ABIS’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
- 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
- Data-Driven Destination Recommender Systems. ACM UMAP ‘18
- Recommending Crowdsourced Trips on wOndary. ACM RecSys Workshop on Recommenders in Tourism 2018
- 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
