Hamburger Stand Support System Using Supervised Machine Learning Algorithms

Abstract

Support System approaches form a pattern from a user's over efforts as well as related conclusion created by other users. This form is then used to voting items that the user may have an interest in the particular product. It can propose the hamburger stand to the user based on the previous procure, voting and reports. Machine learning plays a vital role in hamburger stand support system, which process the user based on their old events. Here, hamburger stand support can be performed by reports, voting, reviews and restaurant reputation, tastes, which is given by the other users. This current support system typically combines one or more approaches into a hybrid system. This paper suggest a hybrid system for classifying the users by using the machine learning algorithms such as Naive Bayes and Support Vector Machine(SVM). It will improve the nourishment transaction, decreases the amount of work and imparts the user fulfillment.