دنبال کردن
Linus W. Dietz
Linus W. Dietz
Researcher at King's College London
ایمیل تأیید شده در kcl.ac.uk - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Mining trips from location-based social networks for clustering travelers and destinations‏
LW Dietz, A Sen, R Roy, W Wörndl‏
Information Technology & Tourism 22 (1), 131-166, 2020‏
472020
Designing a Conversational Travel Recommender System Based on Data-Driven Destination Characterization.‏
LW Dietz, S Myftija, W Wörndl‏
RecTour@ RecSys, 17-21, 2019‏
252019
Teaching Clean Code‏
LW Dietz, J Manner, S Harrer, J Lenhard‏
1st Workshop on Innovative Software Engineering Education, 24--27, 2018‏
222018
Deriving Tourist Mobility Patterns from Check-in Data‏
LW Dietz, D Herzog, W Wörndl‏
Proceedings of the WSDM 2018 Workshop on Learning from User Interactions, 4, 2018‏
172018
Data-Driven Destination Recommender Systems‏
LW Dietz‏
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018‏
152018
Online evaluations for everyone: Mr. DLib’s living lab for scholarly recommendations‏
J Beel, A Collins, O Kopp, LW Dietz, P Knoth‏
European Conference on Information Retrieval, 213-219, 2019‏
142019
Characterisation of traveller types using check-in data from location-based social networks‏
LW Dietz, R Roy, W Wörndl‏
Information and Communication Technologies in Tourism 2019: Proceedings of …, 2019‏
142019
Recommending Crowdsourced Trips on wOndary‏
LW Dietz, A Weimert‏
RecTour 2018, 2018‏
142018
Tourist trip recommendations—foundations, state of the art and challenges‏
D Herzog, LW Dietz, W Wörndl‏
Personalized Human-Computer Interaction, 159-182, 2019‏
13*2019
Analyzing ‘Near Me’Services: Potential for Exposure Bias in Location-based Retrieval‏
A Banerjee, GK Patro, LW Dietz, A Chakraborty‏
2020 IEEE International Conference on Big Data (Big Data), 3642-3651, 2020‏
112020
Identifying Travel Regions Using Location-Based Social Network Check-in Data‏
A Sen, LW Dietz‏
Frontiers in Big Data 2, 12, 2019‏
82019
A Comparative Study of Data-driven Models for Travel Destination Characterization‏
LW Dietz, M Sertkan, S Myftija, S Thimbiri Palage, J Neidhardt, W Wörndl‏
Frontiers in Big Data 5, 23, 2022‏
62022
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation.‏
LW Dietz, W Wörndl‏
RecSys (Late-Breaking Results), 31-35, 2019‏
62019
TripRec–A Recommender System for Planning Composite City Trips Based on Travel Mobility Analysis‏
R Roy, LW Dietz‏
ACM WSDM WebTour Workshop, 2021‏
52021
Modeling Physiological Conditions for Proactive Tourist Recommendations‏
R Roy, LW Dietz‏
Proceedings of the 23rd International Workshop on Personalization and …, 2019‏
52019
Java by Comparison: Become a Java Craftsman in 70 Examples‏
SHJLL Dietz‏
Pragmatic Bookshelf, 2018‏
5*2018
Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms‏
LW Dietz, P Sánchez, A Bellogín‏
Information Technology & Tourism, 1-50, 2025‏
32025
Navigation by revealing trade-offs for content-based recommendations‏
LW Dietz, ST Palage, W Wörndl‏
Information and Communication Technologies in Tourism 2022: Proceedings of …, 2022‏
32022
CityRec--A Data-Driven Conversational Destination Recommender System.‏
S Myftija, LW Dietz‏
E-review of Tourism Research 17 (5), 2020‏
32020
Analyzing the Importance of JabRef Features from the User Perspective‏
MK Simon, LW Dietz, T Diez, O Kopp‏
Proceedings of the 11th Central European Workshop on Services and their …, 2019‏
32019
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20