Community-based tourism: measuring readiness of artificial intelligence on traditional village

Kadek Ayu Astuti, G. Darma
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引用次数: 5

Abstract

The paper aimed at describing and elaborating the different meanings appear on the description of tourist destinations in two forms. On the one hand is a cyberspace image in two locations tourist destinations, on the other hand, is an image of the real fact after visitor came to a destination place. The research is as the basis of this paper combines two analyses. First, take and analyze the contents from review Trip Advisor and retrieve analytical data from the source www.social-searcher.com. Second, make observations and in-depth interviews of informants who came and witnessed a place of tourist destinations after getting information on digital pages. The analysis of the combined two data attempts to show the uniqueness, the gap, and the difference between cyberspace images of tourist destinations, with the opinions and perceptions of tourist visitors who have seen the real destination. The main aim of this article is to demonstrate the theoretical support of a model about the effect of digital marketing tools technologies on low-density tourism region. In order to achieve this purpose, a literature review will be used as a methodological basis.
基于社区的旅游:衡量传统村落的人工智能准备度
本文旨在描述和阐述旅游地描述中出现的两种形式的不同含义。一方面是旅游目的地两个地点的网络空间形象,另一方面是游客到达目的地后的真实事实形象。本研究是作为论文的基础,结合两个方面进行分析。首先,从review Trip Advisor获取并分析内容,并从源www.social-searcher.com检索分析数据。第二,在数字页面上获取信息后,对到过旅游目的地某地亲眼目睹的举报人进行观察和深度采访。结合两个数据的分析,试图展示旅游目的地网络空间图像之间的独特性、差距和差异,以及看到真实目的地的游客的意见和看法。本文的主要目的是证明数字营销工具技术对低密度旅游区影响的模型的理论支持。为了达到这一目的,将使用文献综述作为方法论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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