Linus W. Dietz

According to our database, Linus W. Dietz authored at least 23 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Data-driven Destination Recommender Systems.

Linus W. Dietz

PhD thesis, 2023

Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms.

Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín

CoRR, 2023

2022

A Comparative Study of Data-Driven Models for Travel Destination Characterization.

Linus W. Dietz, Mete Sertkan, Saadi Myftija, Sameera Thimbiri Palage, Julia Neidhardt, Wolfgang Wörndl

Frontiers Big Data, 2022

Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation.

Pablo Sánchez, Linus W. Dietz

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Recommending the Duration of Stay in Personalized Travel Recommender Systems.

Abhishek Agarwal, Linus W. Dietz

Proceedings of the Workshop on Recommenders in Tourism (RecTour 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

2021

An Interactive Dashboard for Traveler Mobility Analysis.

Lukas Vorwerk, Linus W. Dietz

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis.

Rinita Roy, Linus W. Dietz

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

2020

Mining trips from location-based social networks for clustering travelers and destinations.

Linus W. Dietz, Avradip Sen, Rinita Roy, Wolfgang Wörndl

J. Inf. Technol. Tour., 2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.

Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Identifying Travel Regions Using Location-Based Social Network Check-in Data.

Avradip Sen, Linus W. Dietz

Frontiers Big Data, 2019

A Model for Using Physiological Conditions for Proactive Tourist Recommendations.

Rinita Roy, Linus W. Dietz

CoRR, 2019

Analyzing the Importance of JabRef Features from the User Perspective.

Martin K. Simon, Linus W. Dietz, Tobias Diez, Oliver Kopp

Proceedings of the 11th Central European Workshop on Services and their Composition, 2019

Code Process Metrics in University Programming Education.

Linus W. Dietz, Robin Lichtenthäler, Adam Tornhill, Simon Harrer

Proceedings of the Workshops of the Software Engineering Conference 2019, 2019

Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization.

Linus W. Dietz, Saadi Myftija, Wolfgang Wörndl

Proceedings of the Workshop on Recommenders in Tourism co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation.

Linus W. Dietz, Wolfgang Wörndl

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Modeling Physiological Conditions for Proactive Tourist Recommendations.

Rinita Roy, Linus W. Dietz

Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, 2019

Characterisation of Traveller Types Using Check-In Data from Location-Based Social Networks.

Linus W. Dietz, Rinita Roy, Wolfgang Wörndl

Proceedings of the Information and Communication Technologies in Tourism 2019, 2019

Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations.

Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth

Proceedings of the Advances in Information Retrieval, 2019

2018

Mr. DLib's Living Lab for Scholarly Recommendations.

Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth

CoRR, 2018

Data-Driven Destination Recommender Systems.

Linus W. Dietz

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Teaching Clean Code.

Linus W. Dietz, Johannes Manner, Simon Harrer, Jörg Lenhard

Proceedings of the Combined Proceedings of the Workshops of the German Software Engineering Conference 2018 (SE 2018), 2018

Affective Computing and Bandits: Capturing Context in Cold Start Situations.

Sebastian Oehme, Linus W. Dietz

Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

Recommending Crowdsourced Travels on wOndary.

Linus W. Dietz, Achim Weimert

Proceedings of the Workshop on Recommenders in Tourism, 2018