19th ACM Conference on Recommender Systems - RecSys 2025, Prague (Czech Republic). 22-26 September 2025
Summary:
Recommender systems in the tourism domain are gaining increasing attention, yet the development of diverse recommendation tasks remains limited, largely due to the scarcity of public datasets. This paper introduces Context Trails, a novel dataset addressing this gap. Context Trails distinguishes itself by including not only user interactions with touristic venues, but also the itineraries (trails or routes) followed by users. Furthermore, it enriches existing item features (e.g., category, coordinates) with contextual attributes related to the interaction moment (e.g., weather) and the venue itself (e.g., opening hours). Beyond a detailed description of the dataset’s characteristics, we evaluate the performance of several baseline algorithms across three distinct recommendation tasks: classical recommendation, route recommendation, and contextual recommendation. We believe this dataset will foster further research and development of advanced recommender systems within the tourism domain. Dataset is available at https://zenodo.org/records/15855966; further code available at https://github.com/pablosanchezp/ContextTrailsExperiments.
Spanish layman's summary:
Presentamos Context Trails, un dataset turístico que enriquece con contexto (clima, horarios) las rutas seguidas por los usuarios visitando diferentes puntos de interés. Además, evaluamos un conjunto de baselines en tres tareas: recomendación clásica, de rutas y recomendación contextual.
English layman's summary:
We present Context Trails, a tourism dataset that enriches the routes followed by users visiting different points of interest with context (weather, schedules). In addition, we evaluate a set of baselines in three tasks: classic recommendation, route recommendation, and contextual recommendation.
Keywords: Dataset, Context, Tourism, Route recommendation, Evaluation
DOI: 
https://doi.org/10.1145/3705328.3748151
Published in: RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems, pp: 716-725, ISBN: 979-8-4007-1364-4
Publication date: 07-Sep-2025.
Citation:
P. Sánchez, A. Bellogín, J.L. Jorro-Aragoneses, "Context Trails: A Dataset to Study Contextual and Route Recommendation", presented at 19th ACM Conference on Recommender Systems - RecSys 2025, Prague, Czech Republic, 22-26 September 2025. In: RecSys '25: Proceedings of the Nineteenth ACM Conference on Recommender Systems, pp. 716-725, doi: 10.1145/3705328.3748151
IIT-25-306C_poster
