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Mining graphs from travel blogs: a review in the context of tour planning

机译：从旅游博客中挖掘图表：旅游规划背景下的回顾

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Abstract ID="Abs1" Language="En" OutputMedium="All"HeadingAbstract/HeadingPara ID="Par1"The tremendous expansion of user-generated content has made travel planning a tedious activity. The information overload disorients some travel knowledge seekers in choosing preferred places and visiting them in an appropriate order. Hence, a trip planning system mainly deals with collecting popular points of interests (POIs) in a region and proposing routes accordingly. In contrast to the various data sources of tour planning, travel blogs have been paid less attention. The massive text contained in these narratives manifests bloggers’ interactions with places that have been modeled with different graph representations. This review concentrates on the problem of extracting this graph-structured information from travel blogs with an explicit focus on POI graph, the fundamental trip planning structure that facilitates travel decision making. The study first discusses an analysis of travel blog mining and its dominant research themes, based on which three distinct categories of graphs are proposed. Each category of graphs is further explored using practical cases followed with a comparative analysis of existing works including their techniques, dataset and evaluation metrics. With the underlying idea of enhancing travel planning process with better POI graphs, the existing literature is critically assessed at the end along with a number of promising directions for future research./Para/Abstract
机译： 摘要 用户生成内容的巨大扩展使旅行计划变得乏味。信息过载使一些旅行知识搜寻者迷失了选择首选地点并以适当顺序访问它们的过程。因此，旅行计划系统主要处理收集区域中的热门兴趣点（POI）并据此提出路线。与旅行计划的各种数据源相比，旅行博客的关注度较低。这些叙述中包含的大量文字显示了博客作者与以不同图形表示形式建模的地点之间的互动。这篇综述着重于从旅行博客中提取这种图结构信息的问题，并且明确关注POI图，POI图是基本的旅行计划结构，可促进旅行决策。该研究首先讨论了旅游博客挖掘及其主要研究主题的分析，在此基础上提出了三种不同的图类别。使用实际案例进一步探索每种图的类别，然后对现有作品进行比较分析，包括其技术，数据集和评估指标。借助用更好的POI图来增强旅行计划过程的基本思想，最后对现有文献进行了严格的评估，并提出了许多有希望的未来研究方向。

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