Method and system for universal life path decision support

• US 20090048903A1
• Filed: 06/11/2008
• Published: 02/19/2009
• Est. Priority Date: 08/13/2007
• Status: Abandoned Application

• Current Assignee: Universal Passage Incorporated
• Original Assignee: Universal Passage Incorporated
• Inventors: Lieberman, Barry S.
• Application Number:
  US12/157,458
• Publication Number:
  US 20090048903A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/08 Auctions

Abstract

A method for life path decision support. Methods or computer programs are used for collecting a person'"'"'s true or prophetic biographical and goal-related data. Such data is used in the creation of a mathematical representation of a profile. Similar profiles are created by various goods or service providers. Methods or computer programs are used for creating mathematical, multi-axis objects that match a person'"'"'s articulated or implied life path needs or goals to one or more goods or service providers. Polynomial matchmaking as well as heuristic matchmaking is employed. Matches are filtered, ranked and presented, typically using a computer screen. Support groups or industry-specific groups or other groups may be formed automatically based on the profiles or matches. Neither the patentee nor the USPTO intends for details set forth in this abstract to constitute limitations to claims not explicitly reciting those details.

Claims

1. A method for universal life path decision support comprising:

collecting user input to create provider profiles and member profiles;

creating multi-axis match objects from the provider profiles and member profiles;

applying heuristics to create implied multi-axis match objects from the provider and member profiles;

filtering, scoring and selecting a selection set of matches from among a candidate set containing the multi-axis match objects and the implied multi-axis match objects; and

presenting said selection set of matches to a user.

2. The method of claim 1 wherein, collecting user input to create provider profiles and member profiles includes collecting biographical data.

3. The method of claim 1 wherein, collecting user input to create provider profiles and member profiles includes using a screen device having a plurality of sliders for representing characteristics on a scale.

4. The method of claim 1 wherein, collecting user input to create provider profiles and member profiles includes a screen device having at least one progress bar.

5. The method of claim 1 wherein, collecting user input to create provider profiles and member profiles includes collecting statistical information from a group of said provider profiles and member profiles.

6. The method of claim 1 wherein creating multi-axis match objects from provider profiles and member profiles includes obtaining second-level information for being received into said profiles.

7. The method of claim 1 wherein creating multi-axis match objects from provider profiles and member profiles includes ranking said profiles against other pre-existing profiles.

8. The method of claim 1 wherein creating multi-axis match objects from provider profiles and member profiles includes presenting a ranked match object to a user for review and authorization.

9. The method of claim 1 wherein creating multi-axis match objects from provider profiles and member profiles includes ranking individual provider resources against one or more needs templates.

10. The method of claim 1 wherein applying heuristics to create implied multi-axis match objects from provider and member profiles includes collecting articulated needs through primary and secondary questions.

11. The method of claim 1 wherein applying heuristics to create implied multi-axis match objects from provider and member profiles includes resolving gaps through tertiary questions.

12. The method of claim 1 wherein filtering, scoring and selecting a set of matches between the multi-axis match objects includes matching a member match object to other member match objects on the basis of a polynomial match.

13. The method of claim 1 wherein filtering, scoring and selecting a set of matches between the multi-axis match objects includes matching a member match object to other member match objects on the basis of a heuristic match.

14. The method of claim 1 wherein, filtering, scoring and selecting a set of matches between the multi-axis match objects includes;

matching on the basis of one or more match types.

15. The method of claim 1 wherein, filtering, scoring and selecting a set of matches between the multi-axis match objects includes selecting a subset of fields drawn from one or more match types.

16. The method of claim 1 wherein, presenting said set of matches to a user includes selecting objective field sets.

17. The method of claim 1 wherein, presenting said set of matches to a user includes presenting an array of match field sets to a user.

18. The method of claim 1 wherein, presenting said set of matches to a user includes invoking a presentation engine to present program facets to a resource provider.

19. An apparatus for universal life path decision support comprising:

an execution unit for collecting user input to create provider profiles and member profiles;

an execution unit for creating multi-axis match objects from the provider profiles and member profiles;

an execution unit for applying heuristics to create implied multi-axis match objects from the provider and member profiles;

an execution unit for filtering, scoring and selecting a selection set of matches from among a candidate set containing the multi-axis match objects and the implied multi-axis match objects; and

an execution unit for presenting said selection set of matches to a user.

20. A computer program product embodied on a tangible computer readable medium for universal life path decision support comprising:

computer code for collecting user input to create provider profiles and member profiles;

computer code for creating multi-axis match objects from the provider profiles and member profiles;

computer code for applying heuristics to create implied multi-axis match objects from the provider and member profiles;

computer code for filtering, scoring and selecting a selection set of matches from among a candidate set containing the multi-axis match objects and the implied multi-axis match objects; and

computer code for presenting said selection set of matches to a user.