SYSTEM AND METHOD FOR LOCALITY AND USER PREFERENCE BASED FOOD RECOMMENDATIONS

• US 20110208617A1
• Filed: 02/18/2011
• Published: 08/25/2011
• Est. Priority Date: 02/19/2010
• Status: Abandoned Application

• Current Assignee: Chris Weiland
• Original Assignee: Chris Weiland
• Inventors: Weiland, Chris
• Application Number:
  US13/031,162
• Publication Number:
  US 20110208617A1
• Time in Patent Office: Days
• US Class Current: 705/27.1
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

A system and methods for generating and presenting recommendations of places to eat based on a user'"'"'s preferences and profile. A set of preferences and ratings are maintained by multiple users which are used to filter and generate rating estimations. Preferences and ratings of other user'"'"'s with similar preference profiles are used to increase or decrease the recommendations. The location and preferences of multiple users can also be compared to provide eating recommendations for a group of users. The recommendations and ratings can be drilled down to specific menu item for determining recommendations on the full meal or a specific item. The system can also be used by the restaurant owner to identify potential customers, target marketing messages, identify problems with the menu or staff, and improve the impression and quality of the restaurant and food.

Claims

1. A system for generating recommendations of restaurants for a seeking user in a given location by use of the Internet, said system comprising:

a website application for generating a webpage on the internet;

a search application for searching at least one database;

said at least one database containing information on a plurality of restaurants, a plurality of restaurant ratings, and a plurality of preferences of a plurality of other users;

an analytics application for analyzing the information on the plurality of restaurants, the plurality of restaurant ratings, and the plurality of preferences of the plurality of known users with the preferences of the seeking user to generate an estimation of the seeking user'"'"'s restaurant ratings;

wherein the analytics application uses the estimations of the seeking user'"'"'s restaurant ratings to provide the seeking user with restaurant recommendations; and

wherein the website application generates and displays a webpage available over the internet for the seeking user to view the restaurant recommendations.

2. The system of claim 1, wherein the analytics application identifies a subset of the one or more known users which have preferences similar to the seeking user and provides recommendations based on the ratings of said subset of known users.

3. The system of claim 1, wherein the analytics application identifies a subset of the one or more known users which have preferences similar to the seeking user and adjusts the estimations of the seeking user'"'"'s restaurant ratings in response to the ratings of said subset of known users.

4. The system of claim 1, wherein the analytics application identifies a subset of the one or more known users which have preferences similar to the seeking user and adjusts the estimations of the seeking user'"'"'s restaurant ratings based on the ratings of said subset of known users.

5. The system of claim 1, wherein the analytics application identifies a subset of the one or more known users which have profiles and ratings which are relevant to the type of restaurants being sought and adjusts the estimations of the seeking user'"'"'s restaurant ratings based on the ratings of said subset of known users.