期刊文献+

人工智能客户服务体系的研究与实现 被引量:12

Study and Implementation of Artificial Intelligence Customer Service System
在线阅读 下载PDF
导出
摘要 电信运营商客户服务的人工成本压力随着服务质量要求的不断提升而逐年提高,基于人工智能技术中的自然语言分析技术将实现自动问答的客户服务方式。在充分利用现有客服知识资源的情况下,新的体系将实现创新服务手段、拓展客户服务渠道、分流客服压力、提高服务效率的目标。 The labor cost of Telecommunication operators' customer service is becoming higher with the requirements of service quality continuously upgrade. Language analysis system based on the AI technologies could realize the automatic Q/A customer service. While making fully use of the existing resources, the new system is an innovation of service methods, which helps to expand the customer service channels, reduce workload and enhance the service efficiency.
作者 刘国刚
出处 《现代电信科技》 2009年第3期50-54,59,共6页 Modern Science & Technology of Telecommunications
关键词 人工智能 自动问答 客户服务 AI, question answer track, customer service, knowledge base,VSM
  • 相关文献

参考文献3

二级参考文献9

  • 1Robert E Filman,Sangam Pant.Searching the Intemet[J].IEEE Intemet Computing, 1998;2(4) :59-69.
  • 2Eric W Brown,James P Callan,W Bruce Croft.Fast Incremental Indexing for Full-Text Information Retrieval[C].In:Proceedings of the 20th VLDB Conference Santiago,Chile, 1994.
  • 3Clifford A Lynch.Networked Information Resource Discovery:An Overview of Current Issues[J].IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 1995; 13 (8) : 1505-1522.
  • 4Sahon G,McGill M J.Introduction to modern Information Retrieval[M]. New York : McGraw-Hill Book company, 1983.
  • 5Ian H Witten.How to build Digital Library[M].Morgan Kaufmann Publishers, 2003.
  • 6BURKE R D, HAMMOND K J, KULYUKIN V, et al.Question answering from frequently asked question files:experiences with the FAQ finder systemp [ J ]. AI Magazine,1997, 18:57 -66.
  • 7HATZIVASSILOGLOU V, KLAVANS J L, HOLCOMBE M L, et al. SIMFINDER: A flexible clustering tool for summarization [ A ]. NAACL Workshop on Automatic Summarization[ C]. [ s. 1. ] : Association for Computational Linguistics, 2001.
  • 8董振东 董强.[EB/OL].知网[EB/OL].http://www.keenage.com,.
  • 9郑实福,刘挺,秦兵,李生.自动问答综述[J].中文信息学报,2002,16(6):46-52. 被引量:167

共引文献125

同被引文献52

  • 1邱煜.烟草商业企业卷烟营销数字化转型[J].商业文化,2024(2):114-116. 被引量:4
  • 2ICTCLAS简介[EB/OL].[2008-12-01].http://ictclas.org/sub_1_1.html.
  • 3孟凡博,刘进江.基于客服系统知识库的设计与实现[J].微计算机信息,2007,23(02X):235-237. 被引量:9
  • 4陈建美.中文情感词汇本体的构建及其应用[D].大连:大连理工大学,2009.
  • 5方建军;何广平.智能机器人[M]{H}北京:化学工业出版社,2004.
  • 6DAVE K, LAWRENCE S, PENNOCK D M. Mining the peanut gallery: opinion extraction and semantic classification of product reviews [ C ] J// Proceedings of the 12th International World Wide Web Conference, 2003 : 519-528.
  • 7LAPATA M, NG H T. Proceedings of the conference on empirical methods in natural language processing [ J ]. Postgraduate Medical Journal, 2006, 42 (484) : 130-131.
  • 8KANAYAMA H, NASUKAWA T. Fully automatic lex- icon expansion for domain oriented sentiment analysis [ C ]// Empirical Methods in Natural Language Pro- cessing, 2006: 355-363.
  • 9MORINAGA S, YAMANISHI K, TATEISHI K, et al. Mining product reputations on the Web [ J]. Kdd, 2002 : 341-349.
  • 10YEN S J, WU Y C, YANG J C, et al. A support vec- tor machine-based context-ranking model for question answering [ J ]. Information Sciences, 2013, 224 (2) : 77-87.

引证文献12

二级引证文献41

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部