Research and Realization of Online-Shopping Customer Segmentation Based on RFM Model

Li Zhang; Yan Wang

doi:10.4028/www.scientific.net/AMM.513-517.1361

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Research and Realization of Online-Shopping...

Research and Realization of Online-Shopping Customer Segmentation Based on RFM Model

Abstract:

In this article, it provided one way to build Customer Centered data sheet based on RFM for online shopping, then with K-Means algorithm in SAS EM, succeeded in clustering the samples. That was meaningful for further study on characteristics of every segment. At the end, the writer summarized the meaning of customer segmentation and inadequate of the model.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

1361-1364

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.1361

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Online since:

February 2014

Authors:

Li Zhang*, Yan Wang

Keywords:

Customer Segmentation, K-Mean, RFM

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* - Corresponding Author

References

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DOI: 10.1145/1014052.1016921

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