一种数据驱动的方法，通过在线评论探索旅游景点的相似之处

IF 1.2 Q4 TELECOMMUNICATIONS

Journal of Location Based Services Pub Date : 2018-04-03 DOI:10.1080/17489725.2018.1493548

Grant McKenzie, B. Adams

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引用次数: 19

摘要

游客参观一个城市的动机往往是由该地区景点的独特性所驱动的。这些景点的吸引力因游客而异，有些游客对单一的特定景点感兴趣，而另一些游客则喜欢主题旅游。如今，游客可以通过在线旅游平台，以用户提供的文字评论、意见、照片和视频的形式，了解其他游客在这些地点的详细体验。通过这些平台获得的数据提供了一个独特的机会，可以检查这些景点、它们的城市和提供评论的游客之间的异同。在这项工作中，我们采用数据驱动的方法，通过对用户贡献的评论进行文本分析来评估相似性，揭示评论者在描述景点和城市时的细微差异和相似之处。

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A data-driven approach to exploring similarities of tourist attractions through online reviews

ABSTRACT The motivation for tourists to visit a city is often driven by the uniqueness of the attractions accessible within the region. The draw to these locations varies by visitor as some travellers are interested in a single specific attraction while others prefer thematic travel. Tourists today have access to detailed experiences of other visitors to these locations in the form of user-contributed text reviews, opinions, photographs, and videos, all contributed through online tourism platforms. The data available through these platforms offer a unique opportunity to examine the similarities and difference between these attractions, their cities, and the visitors that contribute the reviews. In this work, we take a data-driven approach to assessing similarity through textual analysis of user-contributed reviews, uncovering nuanced differences and similarities in the ways that reviewers write about attractions and cities.

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来源期刊

Journal of Location Based Services TELECOMMUNICATIONS-

CiteScore

3.70

自引率

8.70%

发文量

期刊介绍： The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.