e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control

In order to improve the intelligence of the e-commerce online intelligent customer service system, this paper proposes a deep rejection recognition algorithm based on the maximum interval squared hinge loss and combines the actual needs of the e-commerce online customer service system to build an in...

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Autor principal:	Dongmei Wei
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/e3ea5a1329764c9da388450693a52b5e
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id	oai:doaj.org-article:e3ea5a1329764c9da388450693a52b5e
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spelling	oai:doaj.org-article:e3ea5a1329764c9da388450693a52b5e2021-11-22T01:10:09Ze-Commerce Online Intelligent Customer Service System Based on Fuzzy Control1687-726810.1155/2021/4867222https://doaj.org/article/e3ea5a1329764c9da388450693a52b5e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4867222https://doaj.org/toc/1687-7268In order to improve the intelligence of the e-commerce online intelligent customer service system, this paper proposes a deep rejection recognition algorithm based on the maximum interval squared hinge loss and combines the actual needs of the e-commerce online customer service system to build an intelligent customer service system with the support of the fuzzy control system. Moreover, this article chooses to build a domain ontology library for structured storage of domain knowledge needed by customer service chatbots. In addition, this article analyzes the dialogue structure based on the speech act model and combines the semantic vector model of the question sentence on the basis of the dialogue structure to understand the question sentence, which helps to improve the accuracy of the answer feedback of the Internet shopping customer service robot. Finally, this article designs experiments to verify the performance of the online customer service system constructed in this article and analyzes the experimental results through statistical methods. The experimental results show that the online intelligent customer service system constructed in this paper has certain practical effects.Dongmei WeiHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995
spellingShingle	Technology (General) T1-995 Dongmei Wei e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control
description	In order to improve the intelligence of the e-commerce online intelligent customer service system, this paper proposes a deep rejection recognition algorithm based on the maximum interval squared hinge loss and combines the actual needs of the e-commerce online customer service system to build an intelligent customer service system with the support of the fuzzy control system. Moreover, this article chooses to build a domain ontology library for structured storage of domain knowledge needed by customer service chatbots. In addition, this article analyzes the dialogue structure based on the speech act model and combines the semantic vector model of the question sentence on the basis of the dialogue structure to understand the question sentence, which helps to improve the accuracy of the answer feedback of the Internet shopping customer service robot. Finally, this article designs experiments to verify the performance of the online customer service system constructed in this article and analyzes the experimental results through statistical methods. The experimental results show that the online intelligent customer service system constructed in this paper has certain practical effects.
format	article
author	Dongmei Wei
author_facet	Dongmei Wei
author_sort	Dongmei Wei
title	e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control
title_short	e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control
title_full	e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control
title_fullStr	e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control
title_full_unstemmed	e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control
title_sort	e-commerce online intelligent customer service system based on fuzzy control
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e3ea5a1329764c9da388450693a52b5e
work_keys_str_mv	AT dongmeiwei ecommerceonlineintelligentcustomerservicesystembasedonfuzzycontrol
_version_	1718418374599376896

e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control

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