Browse Prior Art Database

Suggest Menu Items Based on Location and User Nutritional Needs

IP.com Disclosure Number: IPCOM000247271D
Publication Date: 2016-Aug-18
Document File: 3 page(s) / 27K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system to suggest menu items to a user from a nearby restaurant based on user preferences, habits, goals, and nutritional needs.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 3

Suggest Menu Items Based on Location and User Nutritional Needs

When a person is on a diet or trying to maintain proper nutrition, knowing what items to order at a restaurant to meet specific needs can be difficult. Although some large chain restaurants voluntarily provide or are required to list caloric content, the more detailed nutritional information of meals is not always readily or easily available, nor consumable. Finding the nutritional information requires searching in a food database for all of the menu items so that the user can compare the strengths and weaknesses of the different choices (e.g., the table of items offered at a fast food restaurant has all the information, but it is difficult to read and understand). Making the proper nutritional choices is even more difficult when the individual is choosing between offerings from several different sources, such as at a food court or a neighborhood or strip mall with several restaurant options.

A system is needed that considers the user's location and makes a recommendation for the menu items that most closely fit the needs and preferences of the user.

Disclosed is a system to suggest menu items to a user from a nearby restaurant based on user preferences, habits, goals, and nutritional needs.

This user-friendly system gathers information about the user's location, identifies the restaurants and the associated menu information, compares the nutritional information for each menu item against the user's caloric and nutritional needs and preferences, and makes a recommendation for the menu items that most closely fit the needs and preferences of the user.

Ways that this system can assist the user in making dietary choices include (but are not limited to):


 Alerting the user when menu items contain an allergen (or diverting the user from those choices)


 Maintaining user food preferences (e.g., user does not like fish, cannot eat pork, prefers beef to chicken, etc.)


 Keeping current with nutritional research and accordingly updating user needs


 Synchronizing with individual fitness devices


- Track calories burned/anticipated caloric burn


- Track compliance with diet program specifics


- Suggest certain foods for before and after workouts to facilitate weight loss, muscle gain, recovery, etc.


 Synchronize with the user's calendar to predict behavior based on scheduled events (e.g., birthday party means cake and a drink, so reserve some calories for later)


 Work with a user's physician to set specific recommendations and guidelines

With this system, users not only track dietary intake, but also receive help with identifying options and making the best choices. This removes some of the burd...