A large travel content and recommendation product for international users
This project delivered a large-scale travel mobile application with around 2 million objects aggregated from multiple sources. A significant part of the work involved collecting data from open and unstructured sources, cleaning it, structuring it, and preparing it for use inside the travel service.
The product sat at the intersection of mobile product development, large-scale content processing, routing, and AI-based personalization.
What the app allowed users to do
The application gave users a practical way to explore destinations, search for places, and build journeys around points of interest gathered from a broad content base.
- Display objects on the map across locations and regions.
- Search by places and destinations inside the travel dataset.
- Build routes for travel and local exploration.
- Generate optimized visiting routes for points of interest.
Recommendation logic and personalized travel suggestions
A strong focus of the product was personalization. The system analyzed what users liked, which places they viewed, where they traveled, and then adapted recommendations accordingly. For example, if a person showed interest in castles, the app could suggest additional relevant places along the route.
- Behavior-based recommendations from user interactions and interests.
- Contextual route suggestions based on travel intent.
- Adaptive content selection for different users and patterns.
- A learning model that improved recommendations over time.
Multilingual travel service with large content volumes and AI personalization
The service was designed for broad international use, combining multilingual support with scalable content handling and recommendation quality.
Product capabilities
The platform combined massive travel content preparation with the product features needed for real-world user exploration and route planning.
Project outcome
The product was functionally strong, but its commercial launch coincided with the COVID period, which limited the ability to monetize it properly despite the quality of the solution itself.
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