A New Chatbot for Customer Service on Social Media

被引:301
作者
Xu, Anbang [1 ]
Liu, Zhe [1 ]
Guo, Yufan [1 ]
Sinha, Vibha [1 ]
Akkiraju, Rama [1 ]
机构
[1] IBM Res Almaden, San Jose, CA 95120 USA
来源
PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17) | 2017年
关键词
Chatbot; social media; customer service; deep learning;
D O I
10.1145/3025453.3025496
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Users are rapidly turning to social media to request and receive customer service; however, a majority of these requests were not addressed timely or even not addressed at all. To overcome the problem, we create a new conversational system to automatically generate responses for users requests on social media. Our system is integrated with state-of-the-art deep learning techniques and is trained by nearly 1M Twitter conversations between users and agents from over 60 brands. The evaluation reveals that over 40% of the requests are emotional, and the system is about as good as human agents in showing empathy to help users cope with emotional situations. Results also show our system outperforms information retrieval system based on both human judgments and an automatic evaluation metric.
引用
收藏
页码:3506 / 3510
页数:5
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