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One taxonomy. Classifier models. Filters that hold everywhere.

In-house classifier models place every venue in one taxonomy of format, service model, cuisine and dishes, and normalize ratings, menu prices and tech, so a filter returns comparable restaurants in any city or country.

One account record, with a row per field family. The names and figures are invented.
Accounts / Larkin Group
AccountLarkin Group
Footprint
10 locations · 12 years
Cuisine and dishes
ChickenFried chicken
Menu and pricing
$9.00 median
Ratings and reviews
4.5 weighted
Delivery and tech
DoorDashUber EatsToast+6
Brand and ownership
Chain Larkin Group
In business12 yearsLarkin Group
Taxonomy

Classified, not keyword-matched.

Classifier models read each venue's categories, name and menu and place it in one taxonomy, so "quick-service", "Fast Food Restaurant" and "comida rápida" become one value.

  • Format, service model, cuisine and dishes
  • One value per venue, not free text
  • The same values in every market
Values as each source writes them, classified into one taxonomy. The names and figures are invented.
Taxonomy / Format
TaxonomyFormat
As the source writes itStandard value
quick-serviceQuick service
Fast Food RestaurantQuick service
comida rápidaQuick service
Sit downCasual dining
fast-casualFast casual
Classifier modelOne value per venueSo a filter means one thing in every market
Ratings and reviews

One satisfaction score. Reviews counted once.

Ratings from every source are normalized to one scale, reviews are deduplicated across sources, and their growth velocity is calculated in-house from the review history.

  • Normalized satisfaction across sources
  • Reviews deduplicated across sources
  • Growth velocity from the review history
A venue's ratings from each source on one scale, its reviews counted once, and how fast they grow. The names and figures are invented.
Restaurants / Juniper Kitchen · Midtown / Reviews
Ratings and reviewsJuniper Kitchen · Midtown
Maps listing4.6
Delivery app4.4
Review site4.3
Satisfaction
4.5 of 5, normalized across sources
Reviews
1,310 counted once across sources
Growth velocity
+38 a month from the review history
Calculated in-houseReview velocityRising faster than 9 in 10 peers

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