Linus W. Dietz

33 papers A 4C 3Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data Product MCP: Chat with your Enterprise Data.
CoRR
Marco Tonnarelli, Filippo Scaramuzza, Simon Harrer, Linus W. Dietz
2025 A conf
AI-Assisted Data Governance with Data Mesh Manager.
ICWS
Arif Wider, Simon Harrer, Linus W. Dietz
2025 J jnl
Point of Interest Recommendation: Pitfalls and Viable Solutions.
CoRR
Alejandro Bellogín, Linus W. Dietz, Francesco Ricci, Pablo Sánchez
2025 J jnl
The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic.
CoRR
André Felipe Zanella, Linus W. Dietz, Sanja Scepanovic, Ke Zhou, Zbigniew Smoreda, Daniele Quercia
2025 J jnl
The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments.
CoRR
Katrin Hänsel, Luca Maria Aiello, Daniele Quercia, Rossano Schifanella, Krisztián Zsolt Varga, Linus W. Dietz, Marios Constantinides
2025 J jnl
The experience of running: Recommending routes using sensory mapping in urban environments.
Int. J. Hum. Comput. Stud.
Katrin Hänsel, Luca Maria Aiello, Daniele Quercia, Rossano Schifanella, Krisztián Zsolt Varga, Linus W. Dietz, Marios Constantinides
2025 J jnl
Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms.
J. Inf. Technol. Tour.
Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín
2024 J jnl
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities.
CoRR
Linus W. Dietz, Sanja Scepanovic, Ke Zhou, André Felipe Zanella, Daniele Quercia
2024 A conf
Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities.
RecSys
Linus W. Dietz, Sanja Scepanovic, Ke Zhou, Daniele Quercia
2023 — —
Data-driven Destination Recommender Systems.
Linus W. Dietz
2023 J jnl
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms.
CoRR
Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín
2022 J jnl
A Comparative Study of Data-Driven Models for Travel Destination Characterization.
Frontiers Big Data
Linus W. Dietz, Mete Sertkan, Saadi Myftija, Sameera Thimbiri Palage, Julia Neidhardt, Wolfgang Wörndl
2022 — conf
Recommending the Duration of Stay in Personalized Travel Recommender Systems.
RecTour@RecSys
Abhishek Agarwal, Linus W. Dietz
2022 A conf
Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation.
UMAP
Pablo Sánchez, Linus W. Dietz
2021 — conf
An Interactive Dashboard for Traveler Mobility Analysis.
WebTour@WSDM
Lukas Vorwerk, Linus W. Dietz
2021 — conf
TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis.
WebTour@WSDM
Rinita Roy, Linus W. Dietz
2020 — conf
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.
IEEE BigData
Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty
2020 J jnl
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.
CoRR
Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty
2020 J jnl
Mining trips from location-based social networks for clustering travelers and destinations.
J. Inf. Technol. Tour.
Linus W. Dietz, Avradip Sen, Rinita Roy, Wolfgang Wörndl
2019 J jnl
A Model for Using Physiological Conditions for Proactive Tourist Recommendations.
CoRR
Rinita Roy, Linus W. Dietz
2019 — conf
Analyzing the Importance of JabRef Features from the User Perspective.
ZEUS
Martin K. Simon, Linus W. Dietz, Tobias Diez, Oliver Kopp
2019 C conf
Characterisation of Traveller Types Using Check-In Data from Location-Based Social Networks.
ENTER
Linus W. Dietz, Rinita Roy, Wolfgang Wörndl
2019 C conf
Code Process Metrics in University Programming Education.
Software Engineering (Workshops)
Linus W. Dietz, Robin Lichtenthäler, Adam Tornhill, Simon Harrer
2019 — conf
Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization.
RecTour@RecSys
Linus W. Dietz, Saadi Myftija, Wolfgang Wörndl
2019 — conf
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation.
RecSys (Late-Breaking Results)
Linus W. Dietz, Wolfgang Wörndl
2019 J jnl
Identifying Travel Regions Using Location-Based Social Network Check-in Data.
Frontiers Big Data
Avradip Sen, Linus W. Dietz
2019 — conf
Modeling Physiological Conditions for Proactive Tourist Recommendations.
ABIS@HT
Rinita Roy, Linus W. Dietz
2019 — conf
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations.
ECIR (2)
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
2018 — conf
Affective Computing and Bandits: Capturing Context in Cold Start Situations.
IntRS@RecSys
Sebastian Oehme, Linus W. Dietz
2018 A conf
Data-Driven Destination Recommender Systems.
UMAP
Linus W. Dietz
2018 J jnl
Mr. DLib's Living Lab for Scholarly Recommendations.
CoRR
Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
2018 — conf
Recommending Crowdsourced Travels on wOndary.
RecTour@RecSys
Linus W. Dietz, Achim Weimert
2018 C conf
Teaching Clean Code.
Software Engineering (Workshops)
Linus W. Dietz, Johannes Manner, Simon Harrer, Jörg Lenhard