LT
Livera Team
Engineering
December 28, 2025
Personalisation is at the heart of the Livera experience. From the moment you open V-One to the restaurant recommendations on DineXChange, every interaction is shaped by a sophisticated AI layer that learns from your preferences and behaviour.
How Our AI Works
Our recommendation engine uses a combination of collaborative filtering, content-based analysis, and real-time contextual signals to surface the most relevant content for each user. It learns continuously — the more you use Livera, the better it gets.
- Collaborative filtering based on similar user preferences
- Real-time contextual signals (time of day, location, weather)
- Cross-platform learning across V-One, DineXChange, and Leisure
- Opt-out controls for users who prefer manual browsing
- On-device processing for privacy-sensitive recommendations
Privacy-Preserving AI
We are deeply committed to using AI responsibly. Our models are designed to deliver personalisation without compromising privacy. Where possible, we use on-device machine learning so that sensitive data never leaves your phone.