1. Direct Marketing Performance Modeling Using Genetic Algorithms.
- Author
-
Bhattacharyya, Siddhartha
- Subjects
- *
DATABASE marketing , *GENETIC algorithms , *DIRECT marketing - Abstract
Data analysts in direct marketing seek models to identify the most promising individuals to mail to and thus maximize returns from solicitations. A variety of criterion can be used to assess model performance, including response to or revenue generated from earlier solicitations. Given budgetary limitations, typically a fraction of the total customer database is selected for mailing. This depth-of-file that is to be mailed to provides potentially useful information that should be considered in model determination. This article presents a genetic algorithm-based approach for obtaining models in explicit consideration of this mailing depth. Issues related to overfitting, common in application of machine learning techniques, are examined, and experiments are based on a real-life data set. [ABSTRACT FROM AUTHOR]
- Published
- 1999
- Full Text
- View/download PDF