Move over Yelp, a new restaurant review site is on the scene, but it’s causing quite a stir by how it ranks eateries.
Instead of rating the food, customer service, and ambiance, it’s judging the looks of its customers.
LooksMapping has rankings for nearly 10,000 restaurants in Los Angeles, San Francisco and New York. Its designer used AI to study millions of restaurant reviews from diners whose faces are on their Google profiles.
“I scraped millions of Google Maps restaurant reviews, and gave each reviewer’s profile picture to an AI model that rates how hot they are out of 10. This map shows how attractive each restaurant’s clientele is. Red means hot, blue means not,” the website explains.
The top five, not hot eateries in the Southland are:
- Lupita’s
- Mediterranean Delight
- McDonald’s
- The Best Burger
- Jack in the Box
“The model is certainly biased. It’s certainly flawed,” the creator explains on the homepage. “But we judge places by the people who go there. We always have. And are we not also flawed? This website just puts reductive numbers on the superficial calculations we make every day. A mirror held up to our collective vanity.”
The post Are they hot or not? Restaurant reviews based on customer looks appeared first on KTLA.
