In this paper,we analyze customer requirements of voice service and data service,establish a customer categorization model and find an effective approach to promote the customer value. We stimulate the customer consumption demand by precision marketing.
本文深入分析客户传统语音通信业务和数据业务需求,建立客户价值细分模型,探索提升客户价值的有效营销策略,通过精确营销刺激客户的通信需求,从而提升客户的价值贡献度,为公司创造新的利润增长点。
参考来源 - 移动通信客户价值群体细分研究及应用In this paper,we analyze customer requirements of voice service and data service,establish a customer categorization model and find an effective approach to promote the customer value. We stimulate the customer consumption demand by precision marketing.
本文深入分析客户传统语音通信业务和数据业务需求,建立客户价值细分模型,探索提升客户价值的有效营销策略,通过精确营销刺激客户的通信需求,从而提升客户的价值贡献度,为公司创造新的利润增长点。
参考来源 - 移动通信客户价值群体细分研究及应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Experiment shows that the revised text categorization model meets the need of text categorization, and improves the performance of former one.
实验证明，改进后的文本分类模型适合于文本分类的需要，改善了原有分类器的性能。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
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