Using Chatbot in Trading System for Small and Medium Enterprise (SMEs) by Convolution Neural Network Technique

Sathit Prasomphan
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引用次数: 4

Abstract

In several businesses, chatbots are used for providing customer information, answering questions, helping customer reservations, virtual assistants; serve as call centers to serve ten million customers automatically. This research presents a method for developing chatbots to serve their users. A deep learning based conversational artificial intelligence technique was used as tools for learning conversation between machine and customer. The convolution neural network technique by using Tensorflow training was used to improve the accuracy of these chatbots. Moreover, in this research, we developed a system for online sales assistant application system via Facebook Page.
基于卷积神经网络技术的聊天机器人在中小企业交易系统中的应用
在一些企业中,聊天机器人被用于提供客户信息、回答问题、帮助客户预订、虚拟助理;作为呼叫中心,自动服务千万客户。本研究提出了一种开发聊天机器人为用户服务的方法。将基于深度学习的会话人工智能技术作为学习机器与客户对话的工具。采用基于Tensorflow训练的卷积神经网络技术来提高这些聊天机器人的准确率。此外,在本研究中,我们开发了一个基于Facebook页面的在线销售助理应用系统。
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