Behavior scoring model for coalition loyalty programs by using summary variables of transaction data

Moo Yeob Lee, Ann Sung Lee, So Young Sohn

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

OKCashbag (OCB), the largest coalition loyalty program in Korea, offers a number of benefits such as sharing customer data with participating firms and cross-selling. There is great value in utilizing information pertaining to coalition loyal patrons. However, the size of transaction data is huge. We propose how to create necessary summary information by reducing the dimension of coalition transaction data. This information is then utilized to develop a behavior-scoring model. We expect that our study results can contribute to big data analysis for coalition loyalty program.

Original languageEnglish
Pages (from-to)1564-1570
Number of pages7
JournalExpert Systems with Applications
Volume40
Issue number5
DOIs
Publication statusPublished - 2013 Apr 1

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All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this

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Behavior scoring model for coalition loyalty programs by using summary variables of transaction data. / Lee, Moo Yeob; Lee, Ann Sung; Sohn, So Young.

In: Expert Systems with Applications, Vol. 40, No. 5, 01.04.2013, p. 1564-1570.

Research output: Contribution to journalArticle

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