服务营销与购买行为的深度学习分析:一种消费者行为形式

Özerk Yavuz
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引用次数: 0

摘要

与产品相比,服务具有一些独特的特征,例如无形的、易腐烂的、不可返回或存储的以及本质上主要是异构的。虽然有些服务是可用的,并且可以通过在线服务渠道提供,但有些服务仍然以传统形式使用传统渠道保持其继续流行。同样,有些消费者更喜欢使用现代服务渠道进行各种服务选择,而有些消费者更喜欢留在传统的服务渠道。在这篇社会科学高级电子期刊~ 2 ~ pejoss.editor@gmail.com (ISSN:2687-5640)中,关于消费者与服务相关的期望和特征的背景理解,购买行为的领先指标可能为领导者、科学界和整个社会的杰出成员提供一些见解。因此,为了对感兴趣的主题有探索性和确认性的理解,已经应用了深度学习、监督和无监督机器学习方法驱动的机器学习方法。提出了各自机器学习方法的关键性能指标和发现的预测性知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Deep Learning Analysis of Service Marketing and Purchase Behavior: A Consumer Behavior Form
Services has some unique set of characteristics compared to products such as being intangible, perishable, not availability of return or storage and being mostly heterateragenous in nature. While some services are available and may be provided using online service channels, some remains to preserve its continued popularity in traditional forms using conventational channels. Similary while some consumers prefer to use the contemporary service channels for various service options some prefer to remain in the conventional service channels. In this Premium E-Journal of Social Sciences ~ 2 ~ pejoss.editor@gmail.com (ISSN:2687-5640) context understanding expectaions and characteristics of consumers associated with services, leading indicators of purchasing behavior may provide severeal insights to leaders, scientific community and the distinguished members of the society at large. Therefore a machine learning approach driven with deep learning, supervised and unsupervised machine learning methodologies have been applied in order to have an exploratory and confirmatory understanding of the topic of interest. Key performance indicators of the respective machine learning methodologies with the predictive knowledge discovered presented.
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