Fake Reviews Identifying Machine Learning Technology on Online Food Porters By IJISRT

Abstract

Wherever we go we will definitely look for food without any time limit. The food is an all-time emotion for everyone. Mainly if anyone visits the new place, he/she is excited to look for good food within less budget, with good management, maintenance and neatness. Zomato is a digital platform that serves as a one-stop destination is ordering food from various restaurants. It users with an extensive data set of restaurants, menus, user reviews, and ratings, allowing them to browse. Zomato is such an interesting app which provides users with more comforts like how many users are approaching to the Zomato, ratings, reviews, restaurants data sets, fast hand delivery, to easily track the order by push up notifications or delivery boy phone number. Mainly Zomato has many facilities whatever food we need we can easily order within seconds. The Zomato has many different food items in different locations within the city/town but some times the restaurants are closed early. Mostly everyone looks for the best biriyanis within their area because the biriyani is not a food but its an heartful emotion who really look for it. Can use supervised machine learning algorithms as logistic regression, naive Bayes or support vector machines, classify the reviews as fake or genuine based on this feature. Every order served by the delivery boy has the charge for delivery. In the present modernized world, fame of food applications is expanding because of usefulness, view, book or request effectively by not very many snaps on telephone. Online reviews have become very easy to take users insight to get the good food in this app. has made it is solid and is currently present in 22countries with more than 1,000,000 eateries around the world and gets 1.25 million orders day to day.