Food Recommendation System
The primary aim of the Food Recommendation System is to suggest the best restaurant nearby along with food using the given user preferences, which takes the food preferences and ratings into consideration to recommend the food to the users.
Abstract
In the past, people obtained suggestions for restaurants from friends or other conventional sources or sites. Although this method is straight forward and user friendly, it has some severe limitations. First, the recommendations from friends or other common people are limited to those places they have visited before. Thus, the user is not able to gain information about places less visited by their friends. Besides that, there is a chance of users not liking the place recommended by their friends. Second, the information provided by the site can often be biased; thus, the information provided cannot always consider being accurate. Recommender systems are widely deployed to predict the preferences of users to items. They are popular in helping users find restaurants and products in general. The primary aim of the Food Recommendation System is to suggest the best restaurant nearby along with food using the given user preferences. This application takes the food preferences and ratings into consideration to recommend the food to the users.