Check out what you can do with TourRec!
Receive enjoyable routes with the best locations for your next trip!
Recommendations are adapted to your interests and context factors such as the weather!
TourRec is a research project and completely free of charge!
Tourist trips can be recommended for cities and areas all over the world!
TourRec is developed and provided by a team of researchers and students at the Technical University of Munich (TUM).
Our research focus are Recommender Systems and practical solutions to the Tourist Trip Design Problem.
|2019||D. Herzog and W. Wörndl||User-Centered Evaluation of Strategies for Recommending Sequences of Points of Interest to Groups||Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019)||Link|
|2019||D. Herzog and W. Wörndl||A User Study on Groups Interacting with Tourist Trip Recommender Systems in Public Spaces||Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019)||Link|
|2018||D. Herzog, C. Laß, and W. Wörndl||TourRec — A Tourist Trip Recommender System for Individuals and Groups||Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018)||Link|
|2018||D. Herzog, N. Promponas-Kefalas, and W. Wörndl||Integrating Public Displays into Tourist Trip Recommender Systems||Proceedings of the 3rd Workshop on Recommenders in Tourism co-located with 12th ACM Conference on Recommender Systems (RecSys 2018)|
|2017||W. Wörndl, A. Hefele and D. Herzog||Recommending a Sequence of Interesting Places for Tourist Trips||Information Technology & Tourism 17 (1)||Link|
|2017||D. Herzog||Recommending a Sequence of Points of Interest to a Group of Users in a Mobile Context||Proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017)||Link|
|2017||C. Laß, D. Herzog and W. Wörndl||Context-Aware Tourist Trip Recommendations||Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017)|
|2016||C. Laß, W. Wörndl and D. Herzog||A Multi-tier Web Service and Mobile Client for City Trip Recommendations||Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services||Link|
|2016||D. Herzog and W. Wörndl||Exploiting Item Dependencies to Improve Tourist Trip Recommendations.||Proceedings of the Workshop on Recommenders in Tourism co-located with 10th ACM Conference on Recommender Systems (RecSys 2016)|
If you have any questions or if you are looking for a research cooperation, please do not hesitate to contact us.