Restaurant setup business analysis using yelp dataset

In this paper, we address the issues associated with setting-up of a new restaurant business. To strategize a new restaurant business, we propose a restaurant business framework which comprises of 3 most important tasks, namely, high frequency attributes, most crowded day and location of the restaurant. First, we identify the features/attributes of the restaurants in which the customers are most interested in and provide those facilities and services to increase the profit. Next, we identify the day of the week when the restaurants are heavily crowded so that the best recipes and offers are made available on those days. Finally, since location has a profound effect on the success of a restaurant business, we consider location to be the most important to know the nearby restaurants and their facilities before coming up with a new restaurant business. The performance analysis of the proposed framework was carried out on the standard Yelp dataset. Thus, we found credit card to be the most preferred attribute, the most crowded day to be Monday and Divey to be the most desired ambience among the customers. We also demonstrate how the new restaurant can be setup by identifying the nearest restaurants and the services.