Go to the restaurant to eat, but trying to fear, the food will be fresh! It seems to be a Google trio to avoid fear. If you eat at a restaurant, food poisoning is likely to be announced by the search giant.
Google is trying to create a custom machine learning algorithm with Harvard University in the United States. In this way, Google's search analysis offers a restaurant list that is missing from food security.
Researchers, potentially insecure restaurants will give the information as soon as possible, he says. It is named as Model Finder or Real Time Foodbone Disease Detector. In the first case, you will look for specific issues such as bowel disease or diarrhea.
However, no information was given about how to start. People go to different restaurants and tell their experiences on smartphones. The Finder will collect and discover data from the past that it had on the smartphone. This food security gap can be known about restaurants.
The researchers tested in Chicago and Las Vegas in 2016 and 2016. They found that the technology rates of unhealthy restaurants in the two cities were 52.3 percent.
In the regular campaign, the insecure restaurant identity rate is 22.7 percent. Evgeny Gabriłovich, co-author of the Google Senior Reich Richard Scientist and study, said that we can use online data as a time-consuming and cost-effective way to improve public health.
Researchers think that the health department can use the Finder algorithm in an existing way to identify unsafe restaurants. Because it is more effective than customer complaints and current campaign methods.