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A novel customer scoring model to encourage the use of mobile value added services

机译:鼓励使用移动增值服务的新颖客户评分模型

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摘要

Following deregulation and liberalization of the mobile telecommunications sector, the mobile telecommunication market is becoming increasingly saturated. Mobile operators are confronted with a sluggish user growth rate and a fall in the average revenue per user (ARPU). Mobile value-added services (VAS) are expected to form mobile operators' strategy to compensate dwindling revenues. However, not only is it difficult to analyze which types of customers are willing to use VAS, but it is equally difficult to understand the diversified customer preferences on VAS. This study proposes an integrated scoring model that includes multiple classification models. It analyzes and distinguishes the potential prospects of VAS. We applied our model to the case of a mobile operator in Korea to validate its usefulness. We explored the prospects for melody bells for that company. We found that our proposed scoring model produces better results than other comparative models.
机译:随着移动电信部门的放松管制和自由化,移动电信市场变得越来越饱和。移动运营商面临着缓慢的用户增长率和平均每用户收入(ARPU)下降。移动增值服务(VAS)有望形成移动运营商的战略,以弥补收入下降的情况。但是,不仅很难分析哪些类型的客户愿意使用VAS,而且要理解VAS上多样化的客户偏好也同样困难。这项研究提出了一个综合评分模型,其中包括多个分类模型。它分析并区分了增值服务的潜在前景。我们将模型应用于韩国一家移动运营商的案例,以验证其有效性。我们探索了该公司旋律铃声的前景。我们发现,我们提出的评分模型比其他比较模型产生更好的结果。

著录项

  • 来源
    《Expert Systems with Application》 |2011年第9期|p.11693-11700|共8页
  • 作者单位

    School of Management Information Systems, Kookmin University, 861-1 Jeongneung-dong, Seongbuk-gu, Seoul 136-702, South Korea;

    Department of Information and Industrial Engineering, Yonsei University, 262 Seongsanno, Seodaemun-ku, Seoul 120-749, South Korea;

    Department of Information and Industrial Engineering, Yonsei University, 262 Seongsanno, Seodaemun-ku, Seoul 120-749, South Korea;

    Department of Information and Industrial Engineering, Yonsei University, 262 Seongsanno, Seodaemun-ku, Seoul 120-749, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    customer scoring model; value-added services; classification; data mining;

    机译:客户评分模型;增值服务;分类;数据挖掘;

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