Recommendations & Personalisation
The app builds a personalised experience by learning from each guest's interactions — viewing, liking, disliking, and favouriting content — to surface the most relevant places, routes, events, offers, and home sales for them.
Recommendation Reasoning
When the app surfaces content based on what a guest has told it they enjoy — types of routes, categories of places, event preferences — it can now explain why each result was suggested. Setting Up Personalisation Preferences (Onboarding)
The first time a guest opens the app after personalisation has been set up for their park, they’re shown a prompt asking whether they’d like to personalise their experience. How Personalisation Preferences Are Built Up Over Time
Setting up preferences during onboarding is just the starting point. What to Know About Personalisation
Preferences are stored on the device A guest’s preference data — their tags and weights — is saved locally on their iPhone or Android device.
When the app surfaces content based on what a guest has told it they enjoy — types of routes, categories of places, event preferences — it can now explain why each result was suggested. Setting Up Personalisation Preferences (Onboarding)
The first time a guest opens the app after personalisation has been set up for their park, they’re shown a prompt asking whether they’d like to personalise their experience. How Personalisation Preferences Are Built Up Over Time
Setting up preferences during onboarding is just the starting point. What to Know About Personalisation
Preferences are stored on the device A guest’s preference data — their tags and weights — is saved locally on their iPhone or Android device.
Further reading
For more information on how to define and setup personalisation tags in the CMS: Core – Your CMS / Personalisation Tagging