Method and System for Creating a Database for a Food-Related Social Network and Method of Utilizing the Database

• US 20130110582A1
• Filed: 09/21/2012
• Published: 05/02/2013
• Est. Priority Date: 02/22/2011
• Status: Abandoned Application

• Current Assignee: Foodsies.com, LLC
• Original Assignee: Foodsies.com, LLC
• Inventors: Starkman, Jason E.
• Application Number:
  US13/624,877
• Publication Number:
  US 20130110582A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

An online computerized food-related social network includes a database of user preferences regarding food, drinks, cuisines, ingredients, dishes, and restaurants. Users create a profile. Additional food, drinks, cuisines, ingredients, dishes, and restaurants are recommended to the user based on other users'"'"' preferences by applying fuzzy logic. The data in the database can be used to provide targeted marketing to the users. The data in the database can be sold to third parties as marketing research.

Claims

1. An online food-related social network, comprising:

a computerized web server; and

a computerized database connected to said web server, said database including user preferences regarding food, drink, ingredients, cuisine, and restaurants;

said computerized database suggesting other users, food, drink, cooking, cuisine, and restaurants to the user based on fuzzy logic.

2. A method of utilizing a database of the food-related social network according to claim 1, which comprises sharing data in said database to a third-party for a purpose other than further building said database.

3. A method of identifying nutritional trends, which comprises providing the database according to claim 1 to a nutritionist.

4. A method of marketing a nutritionist to a user of the food-related social network according to claim 1, which comprises:

identifying dietary habits of the user by analyzing the database; and

displaying an advertisement for the nutritionist to the user.

5. A method for choosing a restaurant to be developed, which comprises:

providing the database of the food-related social network according to claim 1 to a restaurant developer; and

selecting at least one of a location, cuisine, menus, dishes, ingredients items on the database.

6. A method of promoting a restaurant, which comprises targeting advertising for a restaurant based to a user of a food-related social network according to claim 1 based on data stored in said database of the food-related social network.

7. A method of stocking a market, which comprises:

providing data in the database for a food-related social network according to claim 1 to a food market; and

stocking at least one of ingredients, food, drink, and cuisine based on preferences of local users in the social network that are stored in the database.

8. A method of advertising a market, which comprises targeting advertising for at least one of a market, ingredients, food, and drink to the users of the food-related social network according to claim 1 based on the user'"'"'s preferences.

9. A method of choosing products to be sold to food-related businesses, which comprises:

providing the data from the food-related social network according to claim 1 to a food manufacturer; and

choosing products to stock based on preferences of local users in the social network.

10. A method of advertising food, which comprises:

providing the data from the database of the food-related social network according to claim 1 to a food manufacturer; and

target advertising of the food made by the food manufacturer to the users of the network based on the user'"'"'s preferences.

11. A preferred embodiments of studying an effect of food on health, which comprises:

providing data from a database of the food-related social according to claim 1 to an epidemiologist; and

statistically analyzing the data with healthcare data.