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GENETIC MODELING FOR ATTRIBUTE SELECTION WITHIN A CLUSTER

Abstract:

Genetic modeling is used to generate new term sets from existing term sets within a population cluster. Term attributes corresponding to a first plurality of term sets are encoded as genes for a computer-executed genetic algorithm. Clients are clustered in categories based on client attributes. The genetics algorithm is applied to a category of clustered clients to distribute the term sets to clients in the category. A first subset of terms sets is removed after receiving, within a first duration of time, a number of client responses that falls below a first threshold. A second subset of term sets is retained after receiving, within a second duration of time, a number of client responses above a second threshold. The second subset is bred using the genetic algorithm and a second plurality of term sets is generated based on the results.