Restaurant Revenue Prediction and Recommendation System

Abstract

There are thousands of quick service restaurants over the globe,and many others. Deciding when and where to setup a restaurant is largely a tedious process which requires a lot of experience and judgment. For launching a new restaurant a large investment of time and capital is needed. Therefore, wrong location for a restaurant if chosen, leads to a heavy amount of loss. Also, for a customer to decide which restaurant to visit according to a budget and location preference is again a tedious job. Therefore, restaurant revenue prediction and recommendation system can be a promising solution for the problem mentioned above. Using Hadoop and big data, evaluation will be done using different aspects taken from the customers and hoteliers.