首页> 外文会议>2011 9th IEEE International Conference on Industrial Informatics >A detection method of FAQ matching inquiry e-mails by automatic generation of characteristic word groups on past inquiry e-mails
【24h】

A detection method of FAQ matching inquiry e-mails by automatic generation of characteristic word groups on past inquiry e-mails

机译:一种自动生成过去查询邮件中特征词组的FAQ匹配查询邮件的检测方法

获取原文

摘要

This paper discusses how to detect the inquiry e-mails corresponding to pre-defined FAQs(Frequently Asked Questions). Web-based interaction such as orders and registration form on a web page is usually provided with its FAQ page for helping a user, however, most users submit their inquiry e-mails without checking such pages. Help desk operators must spend lots of time on replying to process lots of e-mails even if some contents match to FAQs, we propose the automatic detection method of such e-mails based on SVM (Support Vector Machine) and specific Jaccard coefficient with positive and negative instances. Experimental results show that the proposed method can improve the recall rate to 50% and the precision rate to 91%.
机译:本文讨论如何检测与预定义的FAQ(常见问题)相对应的查询电子邮件。通常会在其FAQ页面中提供基于Web的交互,例如网页上的订单和注册表单,以帮助用户,但是,大多数用户在不检查此类页面的情况下提交查询电子邮件。服务台操作员即使在某些内容与常见问题解答匹配的情况下也必须花费大量时间来答复处理大量电子邮件,我们提出了基于SVM(支持向量机)和特定Jaccard系数(具有正值)的此类电子邮件自动检测方法。和否定实例。实验结果表明,该方法可以将召回率提高到50%,准确率提高到91%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号