• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2020, Vol. 42 ›› Issue (12): 2242-2251.

• 人工智能与数据挖掘 • 上一篇    下一篇

面向在线客服系统的调度算法研究

嵇友浪1,朱君1,邹云峰1,周子馨2,陈兴2   

  1. (1.国网江苏省电力有限公司营销服务中心,江苏 南京 210019;

    2.河海大学计算机与信息学院,江苏 南京 211100)
  • 收稿日期:2020-01-15 修回日期:2020-03-14 接受日期:2020-12-25 出版日期:2020-12-25 发布日期:2021-01-05
  • 基金资助:
    国网江苏省电力有限公司科技项目(J2018020)

A scheduling algorithm for online customer service system

JI You-lang1,ZHU Jun1,ZOU Yun-feng1,ZHOU Zi-xin2,CHEN Xing2   

  1. (1.Marketing Service Center,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210019; 

    2.College of Computer and Information,Hohai University,Nanjing 211100,China)


  • Received:2020-01-15 Revised:2020-03-14 Accepted:2020-12-25 Online:2020-12-25 Published:2021-01-05

摘要: 与传统客服系统相比,在线客服系统的坐席需同时为多位客户提供业务服务,使客服与客户之间的适配与调度问题更为复杂。在分析在线客服特征的基础上,提出了一种面向在线客服系统的调度模型,模型由客户多优先级客户队列、系统状态集及其转换关系、状态与调度策略之间的映射构成,并设计了相应的调度算法。通过实验验证了模型的合理性和算法的有效性。与运营中的客服系统相比,算法在实现较高质量服务的情况下,既较大幅度地降低了客户的平均等待时间,又确保了客服之间的负载均衡。


关键词: 在线客服系统, 调度模型, 调度算法, 多队列, 状态转换

Abstract: Different from traditional customer service systems, online customer service systems offer business services for multiple customers simultaneously, which makes the adaptation and scheduling between service providers and customers a big challenge. Based on the characteristics of online customer service, this paper proposes a scheduling model for online customer service systems. The scheduling model is composed of three constituents: a multi-priority customer queue, the states of the scheduling system and the transition relations between them, and the correspondence between scheduling strategies and states of the system. Its scheduling algorithm is designed. Experiments verify the rationality of the scheduling model and the effectiveness of the scheduling algorithm. In comparison to the operating customer service system, the algorithm can not only considerably reduce the average waiting time of customers, but also achieve load balancing among service providers, when guaranteeing high quality of services.

Key words: online customer service system, scheduling model, scheduling algorithm, multi-queue, state transition