Go to the restaurant to eat, but the fear is, the food will be fresh! In order to avoid this fear, Google appears as a trio. If you eat food from a restaurant, food poisoning will probably announce in advance the search giant.
Google is trying to create a special machine learning algorithm with the University of Harvard in the United States. Through this, Google Search Analysis offers a list of restaurants that are deficient in food safety.
Researchers say it will provide information in potentially unsafe restaurants in the fastest possible time. The model is called a Finder or a real-time disease detector. In the first case they will look for specific topics such as bowel or diarrhea.
But no information was provided about how it will be launched. People go to different restaurants and speak their experiences with smartphones. Finder will collect data from all past history on the smartphone and explore it. This can be known about food shortages.
The researchers are conducting tests in 2016 and 2016 in Chicago and Las Vegas. They found that the rate of identification of unhealthy restaurants in two cities by technology is 52.3 percent.
In a regular campaign, the degree of identification of an unsecured restaurant is 22.7 percent. Google senior Reich Richard Scientist and co-author of the study, Evgeni Gabriłovich, said that we can use online data as a long-term and cost-effective method for improving public health.
Researchers believe that the health department can use the Finder Algorithm with an existing method for identifying unsafe restaurants. It's more effective than consumer complaints and existing campaign methods.