Linus W. Dietz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Programming Education

Compound Critiques

Recommender Systems

Top Venues

Software Engineering (Workshops)

Publications

Linus W. Dietz, Sanja Scepanovic, Ke Zhou, André Felipe Zanella, Daniele Quercia
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities. CoRR (2024)
Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms. CoRR (2023)
Abhishek Agarwal, Linus W. Dietz
Recommending the Duration of Stay in Personalized Travel Recommender Systems. RecTour@RecSys (2022)
Pablo Sánchez, Linus W. Dietz
Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. UMAP (2022)
Linus W. Dietz, Mete Sertkan, Saadi Myftija, Sameera Thimbiri Palage, Julia Neidhardt, Wolfgang Wörndl
A Comparative Study of Data-Driven Models for Travel Destination Characterization. Frontiers Big Data 5 (2022)
Lukas Vorwerk, Linus W. Dietz
An Interactive Dashboard for Traveler Mobility Analysis. WebTour@WSDM (2021)
Rinita Roy, Linus W. Dietz
TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis. WebTour@WSDM (2021)
Linus W. Dietz, Avradip Sen, Rinita Roy, Wolfgang Wörndl
Mining trips from location-based social networks for clustering travelers and destinations. J. Inf. Technol. Tour. 22 (1) (2020)
Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. CoRR (2020)
Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. IEEE BigData (2020)
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations. ECIR (2) (2019)
Linus W. Dietz, Wolfgang Wörndl
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation. RecSys (Late-Breaking Results) (2019)
Linus W. Dietz, Saadi Myftija, Wolfgang Wörndl
Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization. RecTour@RecSys (2019)
Linus W. Dietz, Rinita Roy, Wolfgang Wörndl
Characterisation of Traveller Types Using Check-In Data from Location-Based Social Networks. ENTER (2019)
Linus W. Dietz, Robin Lichtenthäler, Adam Tornhill, Simon Harrer
Code Process Metrics in University Programming Education. Software Engineering (Workshops) (2019)
Martin K. Simon, Linus W. Dietz, Tobias Diez, Oliver Kopp
Analyzing the Importance of JabRef Features from the User Perspective. ZEUS (2019)
Rinita Roy, Linus W. Dietz
A Model for Using Physiological Conditions for Proactive Tourist Recommendations. CoRR (2019)
Rinita Roy, Linus W. Dietz
Modeling Physiological Conditions for Proactive Tourist Recommendations. ABIS@HT (2019)
Avradip Sen, Linus W. Dietz
Identifying Travel Regions Using Location-Based Social Network Check-in Data. Frontiers Big Data 2 (2019)
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
Mr. DLib's Living Lab for Scholarly Recommendations. CoRR (2018)
Linus W. Dietz, Johannes Manner, Simon Harrer, Jörg Lenhard
Teaching Clean Code. Software Engineering (Workshops) (2018)
Linus W. Dietz, Achim Weimert
Recommending Crowdsourced Travels on wOndary. RecTour@RecSys (2018)
Sebastian Oehme, Linus W. Dietz
Affective Computing and Bandits: Capturing Context in Cold Start Situations. IntRS@RecSys (2018)
Linus W. Dietz
Data-Driven Destination Recommender Systems. UMAP (2018)