SYSTEMS AND METHODS FOR FOOD AND RESTAURANT RECOMMENDATIONS

• US 20160012513A1
• Filed: 07/08/2015
• Published: 01/14/2016
• Est. Priority Date: 07/08/2014
• Status: Abandoned Application

• Current Assignee: Martinez Management, Inc.
• Original Assignee: Martinez Management, Inc.
• Inventors: Martinez, Richard J., Martinez, Debra A.
• Application Number:
  US14/794,527
• Publication Number:
  US 20160012513A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

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.

Claims

1. A restaurant and food recommendation system comprising:

a database of user data including a user identification for each of a plurality of users and, additionally for each user, food preference data including;

data related to user dietary needs;

data related to cuisine type ratings;

data related to restaurant ratings; and

data related to menu item ratings;

a controller in communication with the database; and

a memory in communication with the controller, the memory including instructions that when executed by the controller cause the controller to perform the steps of;

receive a recommendation request from a requesting user through a user device including the user identification and location data;

in response to the receipt of the recommendation request, analyzing 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, generate a recommendation related to a restaurant or to a menu item for the requesting user;

and

provide the generated recommendation to the user via the user device.

2. The system of claim 1 wherein the further includes data related to a manner in which to order a menu item and the generated recommendation further includes a menu item and the manner in which to order the menu item.

3. The system of claim 1 wherein the recommendation request further includes an identification of a second user and the controller additionally filters based on the data related to the user dietary needs and the data related to cuisine type ratings associated with the second user to generate a recommendation related to a restaurant.

4. The system of claim 1 wherein the recommendation request further includes the identification of a second user and the controller additionally filters based on the data related to the user dietary needs and the data related to cuisine type ratings associated with the second user to generate a recommendation related to a menu item for the second user.

5. The system of claim 1 wherein one of the at least two users for the probabilistic relationship between either the restaurant ratings or the menu item ratings of at least two users is the requesting user.

6. The system of claim 1 wherein the generated recommendation relates to a restaurant and the restaurant is one for which the database does not include any restaurant ratings data associated with the requesting user.

7. The system of claim 1 wherein the generated recommendation relates to a menu item and the menu item is one for which the database does not include any restaurant ratings data associated with the requesting user.

8. The system of claim 1 wherein the user device includes a positioning sensor identifying the location of the user device to the controller and the database includes locations of restaurants, wherein the generated recommendation includes an allergy warning generated in response to the combination of the requesting user'"'"'s food preference data, data related to allergy information related to restaurants, and the location of the user device.

9. The system of claim 8 wherein the recommendation request from the requesting user is automatically provided to the controller by the user device in response to a matching of the location of the user device to the data related to the locations of restaurants.

10. The system of claim 1 wherein the user device includes a positioning sensor identifying the location of the user device to the controller and the database includes locations of restaurants, wherein the generated recommendation includes a manner in which to order a menu item generated in response to the combination of the requesting user'"'"'s food preference data and the location of the use device.

11. The system of claim 10 wherein the recommendation request from the requesting user is automatically provided to the controller by the user device in response to a matching of the location of the user device to the data related to the locations of restaurants.