Enhanced relationship prediction system

• US 7,940,174 B2
• Filed: 11/05/2009
• Issued: 05/10/2011
• Est. Priority Date: 09/28/2005
• Status: Expired due to Fees

• Current Assignee: Edward F. Tuck
• Original Assignee: Social Fabric Corporation
• Inventors: Tuck, Edward F.
• Primary Examiner(s): POPE, DARYL C
• Application Number:
  US12/590,433
• Publication Number:
  US 20100145903A1
• Time in Patent Office: 551 Days
• Field of Search: 340/539.13, 340/539.1, 340/539.11, 340/328, 340/326, 379/93.17, 379/93.25, 707/2, 707/3, 707/104, 709/253
• US Class Current: 340/539.13
• CPC Class Codes: C11D 3/50 Perfumes
• CPC Class Codes: G01S 13/74 Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
• CPC Class Codes: G08B 2001/085 Partner search devices

Abstract

An Enhanced Relationship Prediction System for providing a relationship prediction based on the correlation of personal characteristics and the analysis of genetic characteristics is disclosed. In one embodiment, a first person supplies descriptions of their own personal characteristics, as well as descriptions of the personal characteristics of their ideal match, to a website. The first person also furnishes an odor, tissue or fluid sample to a test facility, where genetic characteristics are analyzed and determined. A relationship match is then generated based on both a combination of both a positive correlation of the personal characteristics of the first person and second person, and a measured dissimilarity between the sequence of genetic characteristics of the first person and second person. In an alternative embodiment, the hormonal birth control status of the participants is used in the matching process.

Claims

1. A method, performed by a computer, for operating a matching service, said method comprising:

obtaining first survey data from non-candidate survey participants, said first survey data being responsive to inquiries into matters that are relevant to personal relationships with other people;

using the first survey data to determine a set of one or more factors associated with predicting satisfaction in a personal relationship, including determining for each of the set of factors a corresponding function of one or more variables;

maintaining a database of match candidates;

gathering second survey data from a user candidate,

said second survey data being responsive to inquiries into matters that are relevant to the formation of personal relationships with other people; and

adding, the hormonal birth control status of said candidates to said first and said second survey data;

automatically identifying, based at least upon said set of factors and said second survey data, at least one of said match candidates for a personal relationship with said user candidate.

2. A method according to claim 1, wherein said obtaining step obtains said first survey data from individuals in an existing relationship.

3. A method according to claim 1, wherein said obtaining step obtains said first survey data from previously existing couples.

4. A method according to claim 1, wherein said first survey data includes data relevant to existing relationships.

5. A system according to claim 1, further comprising the step of:

considering hormonal birth-control status of said candidates.

6. A system according to claim 1, further comprising the step of:

considering the alleles of the DRD4 locus of Chromosome 11 of said candidates.

7. A system according to claim 1, further comprising the step of:

considering the alleles of the ER-alpha locus of Chromosome 6 of said candidates.

8. A system according to claim 1, further comprising the step of:

considering the alleles of the CD38 locus of Chromosome 8 of said candidates.

9. A system according to claim 1, further comprising the step of:

considering the alleles and number of repeats at the AVPR1a locus of Chromosome 12.

10. A system according to claim 1, further comprising the step of:

considering the alleles of the MHC group of Chromosome 6 of said candidates.

11. A method, performed by a computer, for operating a matching service, said method comprising:

obtaining first survey data from people in currently existing personal relationships, said first survey data being responsive to inquiries into matters that are relevant to personal relationships with other people;

using the first survey data to determine a set of one or more factors associated with predicting satisfaction in a personal relationship, including determining for each of the set of factors a corresponding function of one or more variables;

maintaining a database of match candidates;

gathering second survey data from a user candidate, said second survey data being responsive to inquiries into matters that are relevant to the formation of personal relationships with other people; and

automatically identifying, based at least upon said set of factors and said second survey data, at least one of said match candidates for a personal relationship with said user candidate.

12. A method according to claim 11, wherein said obtaining step obtains said first survey data from married individuals.

13. A method according to claim 12, wherein said obtaining step obtains said first survey data from married couples.

14. A method according to claim 11, wherein said first survey data includes data relevant to said currently existing relationships.

15. A method according to claim 11, wherein said obtaining step obtains said first survey data from non-candidate survey participants.

16. A method, performed by a computer, for operating a matching service, said method comprising:

processing first survey data from people in currently existing personal relationships to identify a set of one or more factors associated with predicting satisfaction in a personal relationship, including determining for each of the set of factors a corresponding function of one or more variables;

gathering second survey data from a user candidate, said second survey data being responsive to inquiries into matters that are relevant to the formation of personal relationships with other people; and

automatically estimating, in response to the set of one or more factors and said second survey data, personal relationship satisfaction between said user candidate and one or more match candidates.

17. A method according to claim 16, wherein said processing step processes first survey data obtained from married individuals.

18. A method according to claim 17, wherein said processing step processes first survey data obtained from married couples.

19. A method according to claim 18, wherein said first survey data is responsive to inquiries into matters that are relevant to the formation of relationships with other people.

20. A method according to claim 19, wherein said obtaining step obtains said first survey data from non-candidate survey participants.

21. A system for operating a matching service, comprising:

a database configured to maintain match candidates; and

a processor configured to;

obtain first survey data from non-candidate survey participants, said first survey data being responsive to inquiries into matters that are relevant to personal relationships with other people;

use the first survey data to determine a set of one or more factors associated with predicting satisfaction in a personal relationship, including determining for each of the set of factors a corresponding function of one or more variables;

gather second survey data from a user candidate, said second survey data being responsive to inquiries into matters that are relevant to the formation of personal relationships with other people; and

automatically identifying, based at least upon said set of factors and said second survey data, at least one of said match candidates for a personal relationship with said user candidate.

22. A system according to claim 21, wherein the processor is further configured to process said first survey data to identify criteria related to successful relationships.