RESTAURANT RECOMMENDATION SYSTEM USING SUPPORT VECTOR MACHINE AND NAIVE BAYES CLASSIFIER MACHINE LEARNING ALGORITHMS
Recommendation System is the system that contains huge amount of information about the interests of different users and preferences for a particular product. This system can suggest the restaurant to the customer based on the previous purchases, ratings, feedback and some other Components. Machine learning plays a significant role in restaurant recommendation system, which filters the customer based on their previous actions. Here, restaurant recommendation can be performed by feedbacks, ratings, reviews and restaurant reputation, tastes, which is given by the other customers. This paper proposes a hybrid based filtering technique for classifying the users by using the machine learning algorithms such as naive Bayes and Support Vector Machine(SVM). This system increases the food sales, reduces the workload and provides customer satisfaction.