Recommending Crowdsourced Travels on wOndary. - Linus W. Dietz; Achim Weimert (RecTour@RecSys, 2018)

Affective Computing and Bandits: Capturing Context in Cold Start Situations. - Sebastian Oehme; Linus W. Dietz (IntRS@RecSys, 2018)

Teaching Clean Code. - Linus W. Dietz; Johannes Manner; Simon Harrer; Jörg Lenhard (Software Engineering (Workshops), 2018)

Data-Driven Destination Recommender Systems. - Linus W. Dietz (UMAP, 2018)

Mr. DLib's Living Lab for Scholarly Recommendations. - Jöran Beel; Andrew Collins 002; Oliver Kopp; Linus W. Dietz; Petr Knoth (CoRR, 2018)

Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations. - Jöran Beel; Andrew Collins 002; Oliver Kopp; Linus W. Dietz; Petr Knoth (ECIR (2), 2019)

Characterisation of Traveller Types Using Check-In Data from Location-Based Social Networks. - Linus W. Dietz; Rinita Roy; Wolfgang Wörndl (ENTER, 2019)

Modeling Physiological Conditions for Proactive Tourist Recommendations. - Rinita Roy; Linus W. Dietz (ABIS@HT, 2019)

How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation. - Linus W. Dietz; Wolfgang Wörndl (RecSys (Late-Breaking Results), 2019)

Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization. - Linus W. Dietz; Saadi Myftija; Wolfgang Wörndl (RecTour@RecSys, 2019)

Code Process Metrics in University Programming Education. - Linus W. Dietz; Robin Lichtenthäler; Adam Tornhill; Simon Harrer (Software Engineering (Workshops), 2019)

Analyzing the Importance of JabRef Features from the User Perspective. - Martin K. Simon; Linus W. Dietz; Tobias Diez; Oliver Kopp (ZEUS, 2019)

A Model for Using Physiological Conditions for Proactive Tourist Recommendations. - Rinita Roy; Linus W. Dietz (CoRR, 2019)

Identifying Travel Regions Using Location-Based Social Network Check-in Data. - Avradip Sen; Linus W. Dietz (Frontiers Big Data, 2019)

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. - Ashmi Banerjee; Gourab K. Patro; Linus W. Dietz; Abhijnan Chakraborty (IEEE BigData, 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)

TripRec - A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis. - Rinita Roy; Linus W. Dietz (WebTour@WSDM, 2021)

An Interactive Dashboard for Traveler Mobility Analysis. - Lukas Vorwerk; Linus W. Dietz (WebTour@WSDM, 2021)

Recommending the Duration of Stay in Personalized Travel Recommender Systems. - Abhishek Agarwal; Linus W. Dietz (RecTour@RecSys, 2022)

Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation. - Pablo Sánchez 001; Linus W. Dietz (UMAP, 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)

Data-driven Destination Recommender Systems. - Linus W. Dietz (2023)

Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities. - Linus W. Dietz; Sanja Scepanovic; Ke Zhou 003; Daniele Quercia (RecSys, 2024)

Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities. - Linus W. Dietz; Sanja Scepanovic; Ke Zhou 003; André Felipe Zanella; Daniele Quercia (CoRR, 2024)

AI-Assisted Data Governance with Data Mesh Manager. - Arif Wider; Simon Harrer; Linus W. Dietz (ICWS, 2025)

The experience of running: Recommending routes using sensory mapping in urban environments. - Katrin Hänsel; Luca Maria Aiello; Daniele Quercia; Rossano Schifanella; Krisztián Zsolt Varga; Linus W. Dietz; Marios Constantinides (Int. J. Hum. Comput. Stud., 2025)

Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms. - Linus W. Dietz; Pablo Sánchez 001; Alejandro Bellogín (J. Inf. Technol. Tour., 2025)

Point of Interest Recommendation: Pitfalls and Viable Solutions. - Alejandro Bellogín; Linus W. Dietz; Francesco Ricci; Pablo Sánchez 001 (CoRR, 2025)

The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic. - André Felipe Zanella; Linus W. Dietz; Sanja Scepanovic; Ke Zhou 003; Zbigniew Smoreda; Daniele Quercia (CoRR, 2025)