Design and Implementation of an Intelligent Web Service Agent Based on Seq2Seq and Website Crawler

This paper proposes using a web crawler to organize website content as a dialogue tree in some domains. We build an intelligent customer service agent based on this dialogue tree for general usage. The encoder-decoder architecture Seq2Seq is used to understand natural language and then modified as a...

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Bibliographic Details

Published in:	Information
Main Authors:	Mei-Hua Hsih, Jian-Xin Yang, Chen-Chiung Hsieh
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	natural language processing intelligent customer service agent website crawler deep learning LSTM Seq2Seq
Online Access:	https://www.mdpi.com/2078-2489/15/12/818