ATHENA AN AVID TRAVELLER USING LSTM BASED RNN ARCHITECTURE

被引：0
|
作者：
Acharya, Akhil [1 ]
Sneha, Y. S. [1 ]
Khettry, Akash Raj [1 ]
Patil, Digvijay [1 ]
机构：
[1] JSS Acad Tech Educ, Dept CSE, Bangalore, Karnataka, India
来源：
JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY | 2020年 / 15卷 / 02期
关键词：
Chatbots; Dialogue state tracking; Interest detection system; LSTM; Personalization; RNN; Travel and tourism; ELIZA;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A chatbot is an interactive, user-friendly agent, which communicates with users when they type in requests. The bot responds appropriately to those requests using the database of queries it has. Athena is a travel chatbot (developed specifically for Indian tourism), is developed to aid users in planning a trip, book hotels, and so on. Various parameters act as a judging criterion for evaluating the performance of Athena. This is used by various travel organizations to determine how deep the chatbot places a mark in the organization's growth and developments. We present an insight into the basics of Athena and its implementation. Athena is distinct from other chatbots given the fact that it uses Interest Detection System (IDS) to provide recommendations to the customer based on the chat history of the customer with Athena. IDS use dialogue state tracking concept to demonstrate its resolve. This paper describes the concept of Chatbots in the field of travel and tourism. It is observed that Athena produces a performance accuracy of 98.67%.
引用
收藏
页码：1413 / 1428
页数：16
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