Tourist Information Evaluation Using a Social Network

Paola Cortez, S. Levachkine, Carlos de la Cruz Cruz
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引用次数: 4

Abstract

—Currently the time to start planning a trip is common that the user makes use of the Internet in order to obtain through other people's comments certain recommendations for a hotel, what to see, how transported, etc. But when seeking information about a hotel, there are specialized websites through the feedback of users recommend to hotels, leaving out the user comments. This paper proposes a methodology to recommend hotels classifying the comments made by users. As a case study using the comments found on the TripAdvisor site belonging to a Mexican port hotels. The objective is to analyze ontologies through the collective intelligence source that is in the comments.
基于社会网络的旅游信息评价
-目前,开始计划旅行的时间很常见,用户利用互联网,以便通过其他人的评论获得对酒店,要看什么,如何运输等的某些建议。但在搜索某家酒店的信息时,有专门的网站通过用户的反馈向酒店推荐,而省略了用户的评论。本文提出了一种对用户评论进行分类推荐酒店的方法。作为一个案例研究,使用TripAdvisor网站上属于墨西哥港口酒店的评论。目标是通过评论中的集体智能源来分析本体。
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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