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ORCIDLinus W. Dietz
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2020 – today
- 2024
[c17]Linus W. Dietz
, Sanja Scepanovic, Ke Zhou, Daniele Quercia:
Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities. RecSys 2024: 1131-1135- [i5]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 abs/2407.15770 (2024) - 2023
- [b1]Linus W. Dietz:
Data-driven Destination Recommender Systems. Technical University of Munich, Germany, 2023 - [i4]Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín:
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms. CoRR abs/2311.07229 (2023) - 2022
- [j3]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: 829939 (2022) - [c16]Abhishek Agarwal, Linus W. Dietz:
Recommending the Duration of Stay in Personalized Travel Recommender Systems. RecTour@RecSys 2022: 1-20 - [c15]Pablo Sánchez, Linus W. Dietz:
Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. UMAP 2022: 132-142 - 2021
- [c14]Rinita Roy, Linus W. Dietz:
TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis. WebTour@WSDM 2021: 8-12 - [c13]Lukas Vorwerk, Linus W. Dietz:
An Interactive Dashboard for Traveler Mobility Analysis. WebTour@WSDM 2021: 13-15 - 2020
- [j2]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): 131-166 (2020) - [c12]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: 3642-3651 - [i3]Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty:
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. CoRR abs/2011.07359 (2020)
2010 – 2019
- 2019
- [j1]Avradip Sen, Linus W. Dietz:
Identifying Travel Regions Using Location-Based Social Network Check-in Data. Frontiers Big Data 2: 12 (2019) - [c11]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: 213-219 - [c10]Linus W. Dietz, Rinita Roy, Wolfgang Wörndl:
Characterisation of Traveller Types Using Check-In Data from Location-Based Social Networks. ENTER 2019: 15-26 - [c9]Rinita Roy, Linus W. Dietz:
Modeling Physiological Conditions for Proactive Tourist Recommendations. ABIS@HT 2019: 25-27 - [c8]Linus W. Dietz, Wolfgang Wörndl:
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation. RecSys (Late-Breaking Results) 2019: 31-35 - [c7]Linus W. Dietz, Saadi Myftija, Wolfgang Wörndl:
Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization. RecTour@RecSys 2019: 17-21 - [c6]Linus W. Dietz, Robin Lichtenthäler, Adam Tornhill, Simon Harrer:
Code Process Metrics in University Programming Education. Software Engineering (Workshops) 2019: 23-26 - [c5]Martin K. Simon, Linus W. Dietz, Tobias Diez, Oliver Kopp:
Analyzing the Importance of JabRef Features from the User Perspective. ZEUS 2019: 47-54 - [i2]Rinita Roy, Linus W. Dietz:
A Model for Using Physiological Conditions for Proactive Tourist Recommendations. CoRR abs/1904.05247 (2019) - 2018
- [c4]Sebastian Oehme, Linus W. Dietz:
Affective Computing and Bandits: Capturing Context in Cold Start Situations. IntRS@RecSys 2018: 2-6 - [c3]Linus W. Dietz, Achim Weimert:
Recommending Crowdsourced Travels on wOndary. RecTour@RecSys 2018: 13-17 - [c2]Linus W. Dietz, Johannes Manner, Simon Harrer, Jörg Lenhard:
Teaching Clean Code. Software Engineering (Workshops) 2018: 24-27 - [c1]Linus W. Dietz:
Data-Driven Destination Recommender Systems. UMAP 2018: 257-260 - [i1]Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth:
Mr. DLib's Living Lab for Scholarly Recommendations. CoRR abs/1807.07298 (2018)
Coauthor Index
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