Searching methods using genetic responsivity measurements

• US 20140222832A1
• Filed: 12/26/2013
• Published: 08/07/2014
• Est. Priority Date: 06/07/2011
• Status: Abandoned Application

• Current Assignee: Social Fabric Corporation
• Original Assignee: Social Fabric Corporation
• Inventors: Weill, Lawrence R., Tuck, Edward F., Sturza, Mark A.
• Application Number:
  US13/998,963
• Publication Number:
  US 20140222832A1
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G16B 40/00 ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Abstract

Methods and apparatus for using an energy emanating device that finds a person (17a,b) object or system based on preselected attributes (33) stored in the energy emanating device (10) are disclosed. Searching Methods Using Genetic Responsivity Measurements are used to compare the attributes (33) of individuals, and a match is determined based upon the correlation of these attributes (33). The matching is accomplished using a variety of algorithms, including a “Genetic Responsivity Measurement Formula.” In alternative embodiments, the invention may be used in a search engine.

Claims

1. A method of searching for a match, comprising the steps of:

providing a first set (F,MS) of data identifiers (F_n,SI);

generating a second set of user-selected data identifiers (M_n,54) relating to a target (M,56);

computing a set of relevance Genetic Responsivity Measurements (58) comprising a plurality of individual Genetic Responsivity Measurements (58A-D) between respective data identifiers of the first and second sets;

providing a Genetic Responsivity Measurement formula which is a function which combines the plurality of individual Genetic Responsivity Measurements; and

applying the formula to determine an overall degree of match.

2. A method according to claim 1, wherein weighting factors W_n are assigned to the identifiers.

3. A method according to claim 1, wherein the data identifiers (F_n) of the first set relate to a first entity (F) and the data identifiers (M_n) of the second set relate to a second entity (M), whereby the formula determines an overall degree of match between the entities.

4. A method according to claim 3, wherein the Genetic Responsivity Measurement formula provided is:

5. A method according to claim 4, wherein the Genetic Responsivity Measurement formula provided is:

6. A method according to claim 5, in which a value for a relative weight is computed using the expression:

7. A method according to claim 3, wherein a Genetic Responsivity Measurement from a first desired attribute set to a second existing attribute set is computed using the expression:

8. A method according to claim 2, wherein a bidirectional match is computed using the expression:

9. A method according to claim 3, wherein a relative weight w_n for all attributes is computed using the expression:

10. A method according to claim 3, wherein the Genetic Responsivity Measurement is converted to a correlation using the expression

c(F,M)=1−

d(F,M).

11. A method according to claim 1, wherein the data, identifiers of the first set are sources of information (S1−

S{N}) of a master set (MS) and the data identifiers of the second set are individual attributes (54A-54D) collectively describing the target (56), and wherein the relevance Genetic Responsivity Measurements (58) computed in the computing step comprise a plurality of individual Genetic Responsivity Measurements (58A, 58B, 58C, 58D) between each of said individual attributes (54A, 54B, 54C . . . 54D) and said plurality of sources of information (S1, S2, S3, S4, S5, S6, S7, . . . S{N}).

12. A method according to claim 1, further comprising the steps of:

selecting a subset of the sources of information (S1′

, S2′

, S3′

) in the general order of shortest relevance Genetic Responsivity Measurements (58) measured between said subset of sources of information and said set of attributes (54).

13. A method according to claim 1, further comprising the step of:

performing a page rank search plurality of individual attributes (54A, 54B, 54C . . . 54D) to reduce the total number of sources of information (S1, S2, S3, S4, S5, S6, S7, . . . S{N}) prior to applying the Genetic Responsivity Measurement formula to measure said relevance Genetic Responsivity Measurements (58).

14. A method according to claim 10, further comprising the steps of:

identifying non-relevant linked attributes; and

excluding from the search sources of information containing said non-relevant linked attributes.

15. A method according to claim 1, wherein the at least one sources of information include a web page.

16. A method according to claim 1, wherein the sets of data identifiers are encoded into respective vectors and the computing step and the subsequent steps comprise:

evaluation of the metric between each vector and other vectors; and

decoding the metric.

17. A method according to claim 6, wherein the metric used is a sum of N components, where N is the dimension of the encoded vector space, each component being a specific function of a pair of corresponding values of two vectors.

18. A method according to claim 16, where the metrics are weighted using an N×

N weighting matrix.

19. An apparatus for searching for a match, comprising:

means for storing a first set of attribute values (F_n) of at least one first entity (F, S);

means for inputting a user-selected second set of attribute values (M_n, 54) relating to a second entity (M, 56);

means for storing a Genetic Responsivity Measurement formula which is a function of the degree of match between respective values of the sets of attribute values; and

means for applying the formula to the first and second sets to determine an overall degree of match between the first entity and the second entity.

20. An apparatus as recited in claim 19, in which said first set of attribute values includes descriptive functional words.