Semantic Scholar Open Access 2017 310 sitasi

SuperAgent: A Customer Service Chatbot for E-commerce Websites

Lei Cui Shaohan Huang Furu Wei Chuanqi Tan Chaoqun Duan +1 lainnya

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (6)

Lei Cui

Shaohan Huang

Furu Wei

Chuanqi Tan

Chaoqun Duan

M. Zhou

Format Sitasi

APA MLA BibTeX

Cui, L., Huang, S., Wei, F., Tan, C., Duan, C., Zhou, M. (2017). SuperAgent: A Customer Service Chatbot for E-commerce Websites. https://doi.org/10.18653/v1/P17-4017

Akses Cepat

Lihat di Sumber doi.org/10.18653/v1/P17-4017

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 310×
Sumber Database: Semantic Scholar
DOI: 10.18653/v1/P17-4017
Akses: Open Access ✓