Go to the restaurant to eat, but fear works, the food will be fresh! To avoid this fear, Google appears as a trio. If you eat food from the restaurant, you will probably pre-feed food poisoning.
Google is trying to create a special type of machine learning algorithm with the University of Harvard in the United States. Through that, Google's search analysis gives a list of missing food restaurants.
Researchers say they will provide information on potentially insecure restaurants in the fastest possible time. The model is named Finder or Real Time Foodbone Detector. In the first case, they will look for certain topics like bowel disease or diarrhea.
But there was no information on how it will be launched. People go to different restaurants and talk about their experience through smart phones. The Finder will collect data from all the past history on a smartphone and explore it. This can be known about restaurants with a lack of food security.
Researchers are testing the 2016 and 2016 tests in Chicago and Las Vegas. They found that the rate of recognition of unhealthy restaurants in two cities by technology was 52.3 percent.
In a regular campaign, the rate of uninvited restaurant identification is 22.7 percent. Google Senior Reich Richard Scientist and co-author Evgeny Gabriłovich said we could use online data as a long-lasting and economical method for improving public health.
Researchers believe the health department can use the Finder algorithm using the existing method of identifying unsafe restaurants. Because it's more effective than client complaints and existing campaign methods.