Linus W. Dietz
Linus W. Dietz
Researcher at King's College London
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Mining trips from location-based social networks for clustering travelers and destinations
LW Dietz, A Sen, R Roy, W Wörndl
Information Technology & Tourism 22, 131-166, 2020
Designing a conversational travel recommender system based on data-driven destination characterization
LW Dietz, S Myftija, W Wörndl
ACM RecSys workshop on recommenders in tourism, 17-21, 2019
Characterisation of traveller types using check-in data from location-based social networks
LW Dietz, R Roy, W Wörndl
Information and Communication Technologies in Tourism 2019: Proceedings of …, 2019
Recommending Crowdsourced Trips on wOndary
LW Dietz, A Weimert
RecTour 2018, 2018
Data-Driven Destination Recommender Systems
LW Dietz
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018
Deriving Tourist Mobility Patterns from Check-in Data
LW Dietz, D Herzog, W Wörndl
Proceedings of the WSDM 2018 Workshop on Learning from User Interactions, 4, 2018
Tourist trip recommendations—foundations, state of the art and challenges
D Herzog, LW Dietz, W Wörndl
Personalized Human-Computer Interaction, 159-182, 2019
Teaching Clean Code
LW Dietz, J Manner, S Harrer, J Lenhard
1st Workshop on Innovative Software Engineering Education, 24--27, 2018
Online evaluations for everyone: Mr. DLib’s living lab for scholarly recommendations
J Beel, A Collins, O Kopp, LW Dietz, P Knoth
Advances in Information Retrieval: 41st European Conference on IR Research …, 2019
Identifying Travel Regions Using Location-Based Social Network Check-in Data
A Sen, LW Dietz
Frontiers in Big Data 2, 12, 2019
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation.
LW Dietz, W Wörndl
RecSys (Late-Breaking Results), 31-35, 2019
Analyzing ‘Near Me’Services: Potential for Exposure Bias in Location-based Retrieval
A Banerjee, GK Patro, LW Dietz, A Chakraborty
2020 IEEE International Conference on Big Data (Big Data), 3642-3651, 2020
Modeling Physiological Conditions for Proactive Tourist Recommendations
R Roy, LW Dietz
Proceedings of the 23rd International Workshop on Personalization and …, 2019
Java by Comparison: Become a Java Craftsman in 70 Examples
Pragmatic Bookshelf, 2018
Navigation by revealing trade-offs for content-based recommendations
LW Dietz, ST Palage, W Wörndl
Information and Communication Technologies in Tourism 2022: Proceedings of …, 2022
CityRec--A Data-Driven Conversational Destination Recommender System.
S Myftija, LW Dietz
E-review of Tourism Research 17 (5), 2020
Code Process Metrics in University Programming Education
LW Dietz, R Lichtenthäler, A Tornhill, S Harrer
2nd Workshop on Innovative Software Engineering Education, 23--26, 2019
A Comparative Study of Data-driven Models for Travel Destination Characterization
LW Dietz, M Sertkan, S Myftija, S Thimbiri Palage, J Neidhardt, W Wörndl
Frontiers in Big Data 5, 23, 2022
TripRec–A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis
R Roy, LW Dietz
ACM WSDM WebTour Workshop, 2021
An Interactive Dashboard for Traveler Mobility Analysis.
L Vorwerk, LW Dietz
WebTour@ WSDM, 13-15, 2021
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