• 查询稿件
  • 获取最新论文
  • 知晓行业信息
张志强, 汪健雄, 靳超. 铁路智能客服关键技术研究[J]. 铁路计算机应用, 2019, 28(9): 1-5.
引用本文: 张志强, 汪健雄, 靳超. 铁路智能客服关键技术研究[J]. 铁路计算机应用, 2019, 28(9): 1-5.
ZHANG Zhiqiang, WANG Jianxiong, JIN Chao. Key technologies of railway intelligent customer service[J]. Railway Computer Application, 2019, 28(9): 1-5.
Citation: ZHANG Zhiqiang, WANG Jianxiong, JIN Chao. Key technologies of railway intelligent customer service[J]. Railway Computer Application, 2019, 28(9): 1-5.

铁路智能客服关键技术研究

Key technologies of railway intelligent customer service

  • 摘要: 提出铁路智能客服总体框架,研究铁路客运服务专业的语义理解与处理,深度学习模型和用户画像等关键技术,解决铁路12306互联网售票系统(简称:12306系统)客服维护成本高、服务时间受限、培训成本高、线路忙、人为错误不利于控制等问题。研究表明,铁路智能客服可有效提高铁路12306系统客服接通率和客户满意度,提升铁路用户体验,树立铁路良好社会形象。

     

    Abstract: This paper proposed the overall framework of railway intelligent customer service, researched on key technologies of railway passenger service professional semantic understanding and processing, deep learning model and user portrait, solved the problems of high maintenance cost, limited service time, high training cost, busy line, human errors which were not conducive to control of railway 12306 Internet ticketing and reservation system.Research results show that the railway intelligent customer service can effectively improve the connection rate and customer satisfaction of the railway 12306 system, enhance railway user experience, establish a good social image of railway.

     

/

返回文章
返回