US 8,429,182 B2Granted

Populating a task directed community in a complex heterogeneous environment based on non-linear attributes of a paradigmatic cohort member

AssigneeInternational Business Machines Corporation

InventorsPaul L. Brackett, Robert R. Friedlander, Anne O. Jackson, James R. Kraemer

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Abstract

A computer implemented method, system, and/or computer program product defines a paradigmatic member of a first task directed community. Non-linear attributes of each member of the first task directed community having a first agenda are identified. Each of the non-linear attributes is individually unrelated to the first agenda. Common non-linear attributes shared by multiple members of the first task directed community are identified for use in defining the paradigmatic member of the first task directed community. A second task directed community, which has an agenda that substantially matches the first agenda of the first task directed community, is then presented with candidate members that match the paradigmatic member of the first task directed community.

Claims19

Dependent claims

A computer implemented method of populating a task directed community, the computer implemented method comprising:

a processor identifying non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda;
the processor identifying common non-linear attributes that are shared by multiple members of the first cohort;
the processor defining a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort;
the processor mapping the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same;
the processor identifying a second agenda of a second cohort;
the processor comparing the second agenda to the first agenda;
the processor executing a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula:
P
⁡
(
A
|
B
)
=
P
⁡
(
B
|
A
)
*
P
⁡
(
A
)
P
⁡
(
B
)
where:
P(A|B) is a probability that a candidate person will meet cohort requirements of the second cohort (A) given (|) that the candidate person has same attributes as the paradigmatic member (B) of the first cohort, where (|) is a conditional operator representing A given a condition B;
P(B|A) is a probability that a known member of the first cohort has same attributes as the paradigmatic member (B) of the first cohort;
P(A) is a probability that the candidate person will meet the cohort requirements of the second cohort regardless of any other information;
and P(B) is a probability that the candidate person will have the same attributes as the paradigmatic member regardless of any other information;
the processor, in response to the first agenda matching the second agenda within predefined bounds, locating enrollment candidates for the second cohort, wherein the enrollment candidates hold the common non-linear attributes that are mapped to the paradigmatic member of the first cohort;
and
the processor, subject to at least one constraint on the second cohort, providing information describing the located enrollment candidates to the second cohort.

38 more elements

A computer program product for defining a paradigmatic member of a task directed community, the computer program product comprising:

a computer readable storage medium;
first program instructions executable by a processor to cause the processor to identify non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda;
second program instructions executable by the processor to cause the processor to identify common non-linear attributes that are shared by multiple members of the first cohort;
third program instructions executable by the processor to cause the processor to define a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort;
fourth program instructions executable by the processor to cause the processor to map the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same;
fifth program instructions executable by the processor to cause the processor to identify a second agenda of a second cohort;
sixth program instructions executable by the processor to cause the processor to compare the second agenda to the first agenda;
seventh program instructions to execute a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula:
P
⁡
(
A
|
B
)
=
P
⁡
(
B
|
A
)
*
P
⁡
(
A
)
P
⁡
(
B
)
where:
P(A|B) is a probability that a candidate person will meet cohort requirements of the second cohort (A) given (|) that the candidate person has same attributes as the paradigmatic member (B) of the first cohort, where (|) is a conditional operator representing A given a condition B;
P(B|A) is a probability that a known member of the first cohort has same attributes as the paradigmatic member (B) of the first cohort;
P(A) is a probability that the candidate person will meet the cohort requirements of the second cohort regardless of any other information;
and P(B) is a probability that the candidate person will have the same attributes as the paradigmatic member regardless of any other information;
eighth program instructions executable by the processor to cause the processor to, in response to the first agenda matching the second agenda within predefined bounds, locate enrollment candidates for the second cohort, wherein the enrollment candidates hold the common non-linear attributes that are mapped to the paradigmatic member of the first cohort;
and
ninth program instructions executable by the processor to cause the processor to, subject to at least one constraint on the second cohort, provide information describing the located enrollment candidates to the second cohort;
and wherein
the first, second, third, fourth, fifth, sixth, seventh, eighth, and ninth program instructions are stored on the computer readable storage medium.

41 more elements

A computer system comprising:

a central processing unit (CPU), a computer readable memory, and a computer readable storage media;
first program instructions to identify non-linear attributes of each member of a first cohort, wherein the first cohort is a task directed community that has a first agenda, and wherein each of the non-linear attributes is individually unrelated to the first agenda;
second program instructions to identify common non-linear attributes that are shared by multiple members of the first cohort;
third program instructions to define a paradigmatic member of the first cohort based on the common non-linear attributes of the members of the first cohort and at least one constraint on the first cohort;
fourth program instructions to map the paradigmatic member of the first cohort to the common non-linear attributes of the members of the first cohort and said at least one constraint on the first cohort for storage of same;
fifth program instructions to identify a second agenda of a second cohort;
sixth program instructions to compare the second agenda to the first agenda;
seventh program instructions to execute a Bayesian analysis to determine enrollment candidates to the second cohort, wherein the Bayesian analysis is performed by executing the formula:
P
⁡
(
A
|
B
)
=
P
⁡
(
B
|
A
)
*
P
⁡
(
A
)
P
⁡
(
B
)
where:
P(A|B) is a probability that a candidate person will meet cohort requirements of the second cohort (A) given (|) that the candidate person has same attributes as the paradigmatic member (B) of the first cohort, where (|) is a conditional operator representing A given a condition B;
P(B|A) is a probability that a known member of the first cohort has same attributes as the paradigmatic member (B) of the first cohort;
P(A) is a probability that the candidate person will meet the cohort requirements of the second cohort regardless of any other information;
and P(B) is a probability that the candidate person will have the same attributes as the paradigmatic member regardless of any other information;
eighth program instructions executable by the processor to cause the processor to, in response to the first agenda matching the second agenda within predefined bounds, locate enrollment candidates for the second cohort, wherein the enrollment candidates hold the common non-linear attributes that are mapped to the paradigmatic member of the first cohort;
and
ninth program instructions executable by the processor to cause the processor to, subject to at least one constraint on the second cohort, provide information describing the located enrollment candidates to the second cohort;
and wherein
the first, second, third, fourth, fifth, sixth, seventh, eighth, and ninth program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

41 more elements

Dependencies are inferred from the claim text.