Daniel Herzog
ABSTRACT
In this demo paper, we present TourRec, amobile Recommender System (RS) for tourist trips, sequences of points of interest (POIs) along enjoyable routes. The core of TourRec is a modular, multi-tier architecture facilitating the development and evaluation of new recommendation algorithms, clients and data sources. We show how the TourRec Android application can be used to recommend tourist trips to individuals and groups. Furthermore, we explain how TourRec supports the evaluation of different recommendation algorithms and group recommendation strategies. A video demonstrating how TourRec works is available under https://youtu.be/o_yx8UGvvvo.
- Damianos Gavalas, Charalampos Konstantopoulos, Konstantinos Mastakas, and Grammati Pantziou. 2014. A Survey on Algorithmic Approaches for Solving Tourist Trip Design Problems. Journal of Heuristics 20, 3 (June 2014), 291--328. Google Scholar
Digital Library
- Christopher Laß, Daniel Herzog, and Wolfgang Wörndl. 2017. Context-Aware Tourist Trip Recommendations. In Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. 18--25. http://ceur-ws.org/Vol-1906/paper3.pdfGoogle Scholar
- Christopher Laß, Wolfgang Wörndl, and Daniel Herzog. 2016. A Multi-Tier Web Service and Mobile Client for City Trip Recommendations. In The 8th EAI International Conference on Mobile Computing, Applications and Services (MobiCASE). ACM. Google ScholarDigital Library
- Judith Masthoff. 2015. Group Recommender Systems: Aggregation, Satisfaction and Group Attributes. In Recommender Systems Handbook, Francesco Ricci, Lior Rokach, and Bracha Shapira (Eds.). Springer US, Boston, MA, 743--776.Google Scholar
- Wolfgang Wörndl, Alexander Hefele, and Daniel Herzog. 2017. Recommending a sequence of interesting places for tourist trips. Information Technology & Tourism 17, 1 (2017), 31--54.Google ScholarCross Ref
Index Terms
- Tourrec: a tourist trip recommender system for individuals and groups
Recommendations
User-centered evaluation of strategies for recommending sequences of points of interest to groups
RecSys '19: Proceedings of the 13th ACM Conference on Recommender SystemsMost recommender systems (RSs) predict the preferences of individual users; however, in certain scenarios, recommendations need to be made for a group of users. Tourism is a popular domain for group recommendations because people often travel in groups ...
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Personalized hybrid recommendation for group of users
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