首页|基于知识图谱的智能客服机器人

基于知识图谱的智能客服机器人

扫码查看
针对当前一些已有的智能客服机器人存在不够"智能"、无法有效解决复杂场景的问题,文中研究了一种以客户为中心、以知识图谱和自然语言处理为核心技术的智能客服机器人。该系统基于真实金融场景,运用知识图谱和自然语言处理技术,实现系统自动识别问题、精准理解问题和准确解答问题。经上线测试表明,该系统不仅能提供精准度较高的答案,而且可大幅提升服务效率,解决89%的客服问题,人机对比度可以达到1∶200以上,总体运行较好。
Intelligent customer service robot based on knowledge map
On the basis of the problem that some existing intelligent customer service robots are not intelli-gent enough to effectively solve complex scenes,this paper studies a customer-based intelligent customer service robot with knowledge map and natural language processing as the core technologies.Based on real financial scenarios,the system uses knowledge map and natural language processing technology to realize the automatic identification,accurate understanding problems and accurate answer of the system.The on-line test shows that the system can not only provide high precision reply,but also greatly improve the service efficiency,which can solve 89%of customer service problems,and the man-machine contrast can reach more than 1:200,showing good in the overall operation.

knowledge mapnature language understandingscenario-basedquestion answeringcustom-er service robot

郏维强、李璜玮、宣明辉、魏宽宏

展开 >

信雅达科技股份有限公司,杭州 310051

知识图谱 自然语言理解 场景化 问题理解 客服机器人

浙江省重点研发计划项目

2019C01020

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(1)
  • 1
  • 11