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MAKING SENSE OF CRM MESSAGES:AN INTERACTIVE TOOLSET

机译:CRM消息的感知:一个交互式工具集

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摘要

CRM managers are frequently overloaded with large number of text messages from their customers, andrnmaking sense of those messages is a difficult task. We introduce an interactive toolset that can facilitate thernexploration of CRM data semi-automatically. This toolset is based on the state of the art text processingrntechnologies and allows CRM managers to discover interactively the re-occurring issues and trends in vastrnamounts of customer messages. Our design of the toolset is based on an iterative sequence of steps: 1)rnidentifying descriptive terms, 2) identifying semantic relationships between the terms, and 3) grouping CRMrnmessages into clusters of related issues. This paper presents a prototype implementation of the toolset, thernjustification for the specific toolset design choices, and an ongoing field study with CRM managers at arncomputer customer support center in a large university.
机译:CRM经理经常会从其客户那里收到大量文本消息,因此要使这些消息具有意义是很困难的任务。我们引入了一个交互式工具集,可以半自动地促进CRM数据的探索。该工具集基于最先进的文本处理技术,并允许CRM经理以交互方式发现大量客户消息中的重复出现的问题和趋势。我们对工具集的设计基于以下一系列迭代步骤:1)识别描述性术语,2)识别术语之间的语义关系,以及3)将CRMrnmessages分组为相关问题的群集。本文介绍了该工具集的原型实现,针对特定工具集设计选择的合理性以及正在进行的与大型大学arncomputer客户支持中心的CRM经理进行的实地研究。

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