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Predictive Recommendation of Eating Establishments and Menu Choices Based on Analysis of Health, Dietary Constraints and Previous Patterns of Consumption

IP.com Disclosure Number: IPCOM000221312D
Publication Date: 2012-Sep-04
Document File: 1 page(s) / 26K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method for recommending eating establishments and menu choices based on the constraints of an individual's preferences/needs (e.g., health and dietary considerations), predicted travel progress, and previous patterns of consumption.

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Predictive Recommendation of Eating Establishments and Menu Choices Based on Analysis of Health, Dietary Constraints and Previous Patterns of Consumption

When a person is going to dine in a restaurant, especially when traveling in an unfamiliar area, it is often difficult for them to find establishments and menu options to meet specific dietary needs (i.e., special needs due to health constraints). This is especially critical when a person's diet affects their immediate health.

This invention describes a method for recommending eating establishments and menu choices based on the constraints of an individual's preferences/needs (e.g., health and dietary considerations), predicted travel progress,and previous patterns of consumption.

The components and process for implementing the method include:


1. A user enters into their Global Positioning device, along with travel plans:


• Medical conditions


• Food preference parameters


• Daily food consumption quantities

• Restaurant preferences


Over time, restaurant and menu preferences will be derived and used as input to the system. Existing biometrics technology could also provide input.

2. The system checks travel destination, path, speed, traffic, and other parameters to determine where the person will be when it will be time to eat, according to their dietary restrictions or preferences

3. The system evaluates restaurants in the vicinity at the target time to determine which restaurants in the target area best...