RECIPROCAL DATA FILE PUBLISHING AND MATCHING SYSTEM

• US 20070156760A1
• Filed: 03/06/2007
• Published: 07/05/2007
• Est. Priority Date: 07/31/2000
• Status: Abandoned Application

• Current Assignee: Alexis Pecoraro, Christopher Hurt, Danny Mccall, Karl Thorndike, Kenneth Kolda, Kimberly Evans, Martin Merrick, M Ivey, Sean Kitzmiller
• Original Assignee: Alexis Pecoraro, Christopher Hurt, Danny Mccall, Karl Thorndike, Kenneth Kolda, Kimberly Evans, Martin Merrick, M Ivey, Sean Kitzmiller
• Inventors: McCall, Danny, Evans, Kimberly, Kolda, Kenneth, Hurt, Christopher, Thorndike, Karl, Kitzmiller, Sean, Merrick, Martin, Ivey, M., Pecoraro, Alexis
• Application Number:
  US11/682,492
• Publication Number:
  US 20070156760A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/13 File access structures, e.g. distributed indices arrangements of input from, or output to, record carriers G06F3/06
• CPC Class Codes: G06F 16/148 File search processing
• CPC Class Codes: G06F 16/2468 Fuzzy queries
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 40/194 Calculation of difference between files
• CPC Class Codes: G06N 7/023 Learning or tuning the parameters of a fuzzy system
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

A method of reciprocally publishing and matching data files is disclosed. The method includes facilitating the creation of Category A and Category B data files having a respective sets of characteristics defined utilizing a common language architecture, associating enhancement objects with each data file, identifying characteristics in each data file which must be met by other data files, weighting characteristics in each data file differently from other characteristics in the same data file, enabling the selection of participation levels for each data file in marketspaces, and matching Category A data files participating in particular marketspaces to Category B data files participating in the same marketspaces using the common language architecture, the enhancement objects, the weights and the required characteristics.

Claims

1. A method of reciprocally publishing and matching data files, the method comprising the steps of:

storing a Category A data file having a set of characteristics corresponding to a Category A item;

storing a Category B data file having a set of characteristics corresponding to a Category B item; and

using fuzzy logic to determine the degree of fit of the Category B data file relative to the Category A data file.

2. The method of claim 1, wherein the step of using fuzzy logic to determine the degree of fit comprises using fuzzy logic to compare a plurality of the Category B characteristics to respective Category A characteristics.

3. The method of claim 2, wherein the step of using fuzzy logic to compare Category B characteristics to Category A characteristics comprises using fuzzy logic to determine the degree of fit of each of the plurality of Category B characteristics to a respective Category A characteristic.

4. The method of claim 1, wherein the Category B data file is a first Category B data file, the method further comprising the steps of:

storing a second Category B data file;

using fuzzy logic to determine the degree of fit of the second Category B data file relative to the Category A data file; and

ordering the Category B data files according to the relative fits of the respective Category B data files.

5. The method of claim 1, further comprising the step of using fuzzy logic to determine the degree of fit of the Category A data file relative to the Category B data file, wherein the degree of fit of the Category A data file relative to the Category B data file is determined separately from the degree of fit of the Category B data file relative to the Category A data file.