Restaurant Recommendation System in Dhaka City Based on Machine Learning Approach

Abstract

Due to the huge explanation of artificial intelligence, machine learning technology is being used in various areas of our day-to-day life. In Dhaka city, there are lots of Restaurants. Sometimes many of us face a scenario where we go to a restaurant and order some food but the food is not that good or the price of the food is very high as compared to other restaurants. Apart from this, another major problem is the location of the restaurant. We cannot find the best restaurants around us based on our preferences. That is why we want to build a model by using a machine learning algorithm that will be able to suggest a suitable restaurant based on the user’s criteria. We have collected Dhaka city’s restaurant’s data from various websites, then we have used Weight-based score calculation and cosine similarity matrix to build our machine learning model. This model will also suggest similar restaurants based on the user's selected restaurants. By using this algorithm, we can build web applications or mobile applications that help users to find our restaurant.