Scholar
Linus W. Dietz
Google Scholar ID: C5VDNfoAAAAJ
King's College London
Urban Computing
Recommender Systems
Data Science
Software Engineering
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Citations & Impact
All-time
Citations
240
H-index
8
i10-index
8
Publications
20
Co-authors
29
list available
Contact
Email
mail@linusdietz.com
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Publications
7 items
Behavior-Mining, Generative Conversations, and Collaborative Advisory: the Future of Travel and Tourism Recommender Systems
2026
Cited
0
Data Product MCP: Chat with your Enterprise Data
2026
Cited
0
The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
2025
Cited
0
Point of Interest Recommendation: Pitfalls and Viable Solutions
2025
Cited
0
The experience of running: Recommending routes using sensory mapping in urban environments
International Journal of Human-Computer Studies · 2025
Cited
0
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities
arXiv.org · 2024
Cited
1
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms
Information Technology & Tourism · 2023
Cited
0
Co-authors
11 total
Wolfgang Wörndl
Technical University of Munich (TUM)
Pablo Sánchez
Universidad Pontificia Comillas - Instituto de Investigación Tecnológica (IIT)
Daniele Quercia
University of Cambridge
Ke Zhou
Lecturer, School of Computer Science, University of Nottingham
Sanja Šćepanović
Nokia Bell Labs
Julia Neidhardt
TU Wien
Alejandro Bellogin (ORCID: 0000-0001-6368-2510)
Universidad Autónoma de Madrid (ROR 01cby8j38)
Joeran Beel
University of Siegen (previously NII Tokyo, Trinity College Dublin, UC Berkeley, ...)
