Your taste profile and match score
How Expo learns what you like and what the match percentage means.
Expo learns your culinary preferences over time and uses them to personalize recommendations and recipe generation.
How Expo learns your taste
Your taste profile is built from the signals you give as you use the app:
- Recipes you save and cook
- Ratings you leave after cooking
- Reactions you give to recipe suggestions (love, maybe, or not for me)
- The dietary preferences you set
- What you search for and ask Expo to make
You don’t manage this directly — it updates quietly in the background as you use Expo. The more you cook and react, the sharper it gets.
What the match score means
Some recipes show a match percentage. That’s Expo’s estimate of how well a recipe fits your taste, based on your profile. A higher percentage means it’s more likely to be your kind of dish.
Match scores are a guide, not a rule. A lower score doesn’t mean you won’t enjoy something — it’s just less aligned with your usual preferences. Trying recipes outside your usual range actually helps Expo learn.
Dietary preferences
If you set dietary restrictions (for example, vegetarian or no dairy), Expo respects them when recommending and generating recipes. You can update these as your needs change.
Cold start
When you’re brand new, Expo doesn’t know much about you yet, so recommendations start broad. They become more personal quickly as you cook and react to a few recipes.
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