Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)

The Application Study On The Customer Service Chatting Robot Based On Bot Framework

Authors
Chuanwei Qi
Corresponding Author
Chuanwei Qi
Available Online October 2017.
DOI
10.2991/jimec-17.2017.24How to use a DOI?
Keywords
BOT FRAMEWORK; speech chatting robot; customer service.
Abstract

with the rapid development of speech recognition technology, the speech chatting robot has become as the breakthrough of the artificial intelligence. The voice chatting robot shall be such a typical application field in customer service, it can provide the customer with efficient and convenient service for 24 hours. In this study it develops an intelligent speech chatting robot for customer service by using the BOT FRAMEWORK released by Microsoft, the usage of such robot has greatly improved the the efficiency and satisfaction degree of customer service.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
Series
Advances in Computer Science Research
Publication Date
October 2017
ISBN
10.2991/jimec-17.2017.24
ISSN
2352-538X
DOI
10.2991/jimec-17.2017.24How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chuanwei Qi
PY  - 2017/10
DA  - 2017/10
TI  - The Application Study On The Customer Service Chatting Robot Based On Bot Framework
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 113
EP  - 115
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.24
DO  - 10.2991/jimec-17.2017.24
ID  - Qi2017/10
ER  -