Zamiechowska, J., Neidhardt, J., & Wörndl, W. (2025). CiRi-Engine: POI Recommender System for Diverse and Balanced Walking Tours. In J. Neidhardt, T. Kuflik, A. Livne, M. Zanker, & W. Wörndl (Eds.), RecTour 2025 : Workshop on Recommenders in Tourism (pp. 29–37). CEUR Workshop Proceedings. https://doi.org/10.34726/11839
We present CiRi-Engine (CityRiddler Recommendation Engine), an interactive city walking-tour recommender system. This demonstration paper showcases a novel approach to generating personalized and balanced itineraries for urban exploration. By combining user-specified constraints, such as start and end locations, tour duration, interest categories, and challenge preferences, with an efficient dual-stage routing algorithm, CiRi-Engine dynamically constructs diverse routes featuring curated Points of Interest (POIs). The engine leverages a novel hybrid of A* and Beam Search for path planning, and incorporates preference-aware POI selection to ensure both relevance and diversity. We demonstrate firsthand how the system balances route diversity, thematic coherence, and user-specified constraints, demonstrating its effectiveness for handling multiple objectives and generating engaging walking tours.
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Project title:
Christian Doppler Labor für Weiterentwicklung des State-of-the-Art von Recommender-Systemen in mehreren Domänen: CDL Neidhardt (Christian Doppler Forschungsgesells) The development of the CityRiddler routing optimisation algorithm and OpenAI chatbot integration: FO999907817 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)