Paper Info
Title
Superagent: A Customer Service Chatbot For E-Commerce Websites
Abstract
Conventional customer service chatbots are usually based on human dialogue, yet significant issues in terms of data scale and privacy. In this paper, we present SuperAgent, a customer service chatbot that leverages large-scale and publicly available e-commerce data. Distinct from existing counterparts, SuperAgent takes advantage of data from in-page product descriptions as well as user-generated content from e-commerce websites, which is more practical and cost-effective when answering repetitive questions, freeing up human support staff to answer much higher value questions. We demonstrate SuperAgent as an add-on extension to mainstream web browsers and show its usefulness to user's online shopping experience.
Year
DOI
Venue
2017
10.18653/v1/P17-4017
PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017): SYSTEM DEMONSTRATIONS
Field
DocType
Volume
World Wide Web,Customer service,Computer science,Natural language processing,Chatbot,Artificial intelligence,E-commerce
Conference
P17-4
Citations 
PageRank 
References 
15
0.63
4
Authors
6
Name
Order
Citations
PageRank
Lei Cui1222.13
Shaohan Huang25710.29
Furu Wei31956107.57
Chuanqi Tan4299.25
chaoqun duan5204.41
Ming Zhou64262251.74