Google Maps will Now Recommend Popular dishes of Various Restaurants

Google Maps on Android now have a new update that will pick out the most popular dishes of a restaurant for users. This feature will use machine learning and by analyze reviews and pictures of a restaurant, it will make suggestions.

Google Maps will use the reviews from diner to see what they have been rating well. Also, the pictures uploaded by them will be compared to see the popularity of the dish, before suggesting it to others.

The more reviews, the more restaurants will benefit from it, whereas, restaurants with few or no reviews will not be benefited.

As the system is totally auto-based, therefore, there are chances that it might mess up a little, especially in the beginning. Artificial intelligence often improves with time and would make better recommendations with time.

Diners can upload pictures of their meal from restaurant to Google Maps. The app will then ask to add details, importantly the name of the dish, to improve its feature.


Overview tab in Google Maps will show the list of suggested dishes, and by tapping on any dish it will show all the relevant reviews by others. The menu tab will also show dishes by categories, like popularity, or dinner, lunch, breakfast, etc.
"In a country where you can’t read the language? Maps will also translate the reviews for you too.", explained Ronnie Falcon, Google Maps Product Manager, in a blog post.


Google Maps is increasingly becoming a popular platform for businesses and the addition of this feature will add more value to it.

Last year, it rolled out two features, one allowed customers to track their favorite businesses to stay alert with all updates and a “For You” tab where users were suggested places they might be interested to visit for shopping, dining, etc.

Google Maps is no more just a navigation service but is determined to provide a personalized user experience to its users.

The feature is now available on Android worldwide, said Google and will soon be live on iOS too.

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