Design and Development of AI-Based Tourist Facilitator and Information Agent

IF 0.5 Q4 COMPUTER SCIENCE, THEORY & METHODS Applied Computer Systems Pub Date : 2020-12-01 DOI:10.2478/acss-2020-0014
Adeel Munawar, S. Raza, Awais Qasim
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引用次数: 1

Abstract

Abstract Due to the rapid increase in the demand for information that supports tourists after, before, and during the trip, many tour systems are available. However, these systems are not able to successfully replace a human facilitator that is expensive to hire. The primary key qualities of a human tourist guide are his/her knowledge, communication skills, and interpretation of destination attractions. Traditional tourist facilitator systems are lacking in these qualities. The main idea of the research is to design an agent to guide tourists, provide them accurate information about visitable places, without having any bound for a specific region and it will have human-like communication skills along with the point of interest knowledge, which depends on its internal knowledge base as well as its online searching techniques.
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基于人工智能的旅游引导员与信息代理的设计与开发
由于对游客在旅游前后和旅游过程中支持信息的需求迅速增加,许多旅游系统可用。然而,这些系统无法成功地取代雇用成本高昂的人工调解员。人类导游的主要关键素质是他/她的知识、沟通技巧和对目的地景点的解释。传统的旅游辅助系统缺乏这些品质。本研究的主要思想是设计一个代理来引导游客,为他们提供关于可参观地点的准确信息,而不需要任何特定区域的约束,它将具有类似人类的沟通技巧以及兴趣点知识,这取决于它的内部知识库以及在线搜索技术。
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来源期刊
Applied Computer Systems
Applied Computer Systems COMPUTER SCIENCE, THEORY & METHODS-
自引率
10.00%
发文量
9
审稿时长
30 weeks
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