Knowledge graph technology based on Natural Language Processing and reinforcement learning e-commerce customer service-Reference-Cited by-同舟云学术

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Knowledge graph technology based on Natural Language Processing and reinforcement learning e-commerce customer service

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
language:
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Author:

Xiao Xiaochen¹

Affiliation:

1. University of Electronic Science and Technology of China,Zhongshan Institute,Zhongshan,China,528402

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10015896/10015907/10015978.pdf?arnumber=10015978

Reference10 articles.

1. Exploiting Knowledge Graph for Multi-faceted Conceptual Modelling using GCN[J];yuwei;Procedia Computer Science,2022

2. Traditional Chinese Medicine Automated Diagnosis Based on Knowledge Graph Reasoning[J];zhang;Computers Materials & Continua,2022

3. A seq2seq model to forecast the COVID-19 cases, deaths and reproductive R numbers in US counties.[J];yanli;medRxiv Preprint Server Health Sci,2021

4. Power Intelligent Customer Service Robot Based on Artificial Intelligence[J];lin;Journal of Physics Conference Series,2021

5. e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control[J];dongmei;Journal of Sensors,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Constructing Personal Knowledge Graph from Conversation via Deep Reinforcement Learning;Communications in Computer and Information Science;2024

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