Interactive product selector with inferential logic engine

• US 20040024656A1
• Filed: 12/15/2000
• Published: 02/05/2004
• Est. Priority Date: 06/02/2000
• Status: Abandoned Application

• Current Assignee: Kevin B. Coleman
• Original Assignee: Kevin B. Coleman
• Inventors: Coleman, Kevin B.
• Application Number:
  US09/737,926
• Publication Number:
  US 20040024656A1
• Time in Patent Office: Days
• US Class Current: 705/27
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0623 Item investigation

Abstract

Methods and systems for an inferential logic engine (ILE) for an interactive product selector. In an embodiment, the interactive product selector provides a user with purchase decision questions (PDQs) regarding a product/service specified by the user. Subject matter experts familiar with the specified product/service can survey the potential user responses to PDQs, and based upon the responses, establish inferences. User selections or responses can be represented logically, and a user'"'"'s selections satisfying a given logical expression can cause the ILE modify the page presentation. In an embodiment, the ILE can be integrated with a Fuzzy Logic Engine (FLE), wherein inferential information can provide additional input to an existing FLE, or can filter the outputs of an existing FLE.

Claims

1. A method for interactively providing information on a page, comprising,

providing at least one question on the page,

receiving at least one response based on the questions,

evaluating the responses against at least one predetermined criterion,

changing the information on the page based on the evaluation.

2. A method according to claim 1, wherein evaluating the responses against the predetermined criteria further comprises creating inferences based on the responses.

3. A method according to claim 1, wherein evaluating the responses against predetermined criteria further comprises,

converting the responses to at least one logical expression, and,

characterizing the information based on the logical expressions.

4. A method according to claim 1, wherein changing the information on the page based on the evaluation further comprises,

identifying product information,

extracting a subset of the identified product information based on the responses, and,

presenting the subset of information on the page.

5. A method according to claim 1, further comprising generating at least one derived measure from the responses.

6. A method according to claim 5, further comprising inputting the derived measures to a fuzzy logic engine.

7. A method according to claim 5, further comprising assigning a membership grade to the derived measures.

8. A method according to claim 1, wherein changing the information on the page further includes,

identifying product information, and,

weighting membership grades associated to the product information by a fuzzy logic engine.

9. A method according to claim 8, further comprising filtering the membership grades based on the responses.

10. A method according to claim 1, further comprising, identifying new information based on the responses.

11. A method according to claim 10, further comprising providing at least one additional page based on the new information.

12. A method according to claim 1, further comprising, based on the responses, combining membership grades from a fuzzy logic engine.

13. A method according to claim 12, wherein combining membership grades further comprises an intersect of membership grades.

14. A method according to claim 12, wherein combining membership grades further comprises a union of membership grades.

15. A method according to claim 1, further comprising identifying the responses as sequenced or non-sequenced.