Abstract: A restaurant and food recommendation system includes: a database of user data including user identification and food preference data. The system receives a recommendation request from a user device including the user identification and location data and analyzes a plurality of the food preference data from a plurality of the users to determine a probabilistic relationship between either the restaurant ratings or the menu item ratings of at least two users. Using the probabilistic relationship between either the restaurant ratings or the menu item ratings of at least two users and further filtering based on the data related to the user dietary needs and the data related to cuisine type ratings associated with the requesting user, as well as filtering using the location data received in the recommendation request, the system generates a recommendation related to a restaurant or to a menu item for the requesting user.