CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods

• URL: http://arxiv.org/abs/2507.18778v1
• Date: Thu, 24 Jul 2025 20:01:24 GMT
• Title: CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods
• Authors: Gustavo H Santos, Myriam Delgado, Thiago H Silva,
• Abstract summary: CityHood is an interactive recommendation system that suggests cities and neighborhoods based on users' areas of interest.<n>The system models user interests leveraging large-scale Google Places reviews enriched with geographic, socio-demographic, political, and cultural indicators.<n>Users can explore recommendations based on their stated preferences and inspect the reasoning behind each suggestion through a visual interface.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present CityHood, an interactive and explainable recommendation system that suggests cities and neighborhoods based on users' areas of interest. The system models user interests leveraging large-scale Google Places reviews enriched with geographic, socio-demographic, political, and cultural indicators. It provides personalized recommendations at city (Core-Based Statistical Areas - CBSAs) and neighborhood (ZIP code) levels, supported by an explainable technique (LIME) and natural-language explanations. Users can explore recommendations based on their stated preferences and inspect the reasoning behind each suggestion through a visual interface. The demo illustrates how spatial similarity, cultural alignment, and interest understanding can be used to make travel recommendations transparent and engaging. This work bridges gaps in location-based recommendation by combining a kind of interest modeling, multi-scale analysis, and explainability in a user-facing system.

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