Personalized Email Marketing with a Genetic Programming Circuit Model

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{kwon:2001:gecco,

• title = "Personalized Email Marketing with a Genetic Programming Circuit Model",
• author = "Yung-Keun Kwon and Byung-Ro Moon",
• pages = "1352--1358",
• year = "2001",
• publisher = "Morgan Kaufmann",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)",
• editor = "Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke",
• address = "San Francisco, California, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "7-11 " # jul,
• keywords = "genetic algorithms, genetic programming, real world applications, circuit model, data mining, local optimization, personalization, one-to-one marketing, email marketing",
• ISBN = "1-55860-774-9",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2001/d24.pdf",
• URL = "https://dl.acm.org/doi/10.5555/2955239.2955470",
• size = "7 page",
• abstract = "Personalisation is a sharply growing issue to improve customers loyalty and maximize marketing efficiency. We try to find a personalized prediction model in email marketing. We propose a circuit model combined with genetic programming. It generates recommendation rules using customer profiles. The model showed significant improvement over general mass marketing in a field test of an email marketing company.",
• notes = "GECCO-2001 A joint meeting of the tenth International Conference on Genetic Algorithms (ICGA-2001) and the sixth Annual Genetic Programming Conference (GP-2001) Part of \cite{spector:2001:GECCO}",

}

Genetic Programming entries for Yung-Keun Kwon Byung-Ro Moon

Citations