通用POI建议

Hisao Katsumi, Wataru Yamada, Keiichi Ochiai
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引用次数: 4

摘要

为了避免游客过度拥挤导致过度旅游,我们提出了一个通用兴趣点(POI),这是一个潜在的有足够吸引力的观光景点,游客可以取代一个著名的观光景点。我们还提出了一种发现通用poi并对其进行评估的方法。虽然社交网络服务(sns)和社交媒体的快速传播使人们更加熟悉旅游,但由于社交网络和社交媒体的性质,用户同时发现相同的帖子或文章推荐特定的旅游景点,并同时被相同的目的地所吸引,这进一步加剧了世界各地的过度旅游。由于过度旅游对游客和当地居民都有严重的影响,因此解决这一问题至关重要。虽然有很多研究提供了推荐不那么拥挤的旅游景点或在著名的旅游区中挖掘不太知名的景点的方法,但我们不能将这些方法作为解决过度旅游的根本方法,原因有两个:1)在很多情况下,游客数量已经超过了旅游区的总容量;2)许多依赖于大量用户生成数据点的方法无法发现不繁忙的景点,因为用户很少发布评论或图片。为了解决这些问题,我们提出了一种新的通用poi概念,即著名景点的替代景点,并提出了一种发现与现有著名景点图像相似的通用poi的方法。我们还用收集的通用poi示例来评估我们的方法。作为第一步,我们希望提出的方法将有助于缓解现实世界中的过度旅游问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generic POI recommendation
For avoiding excessive congestion of tourists that causes overtourism, we propose a Generic Point of Interest (POI), which is an alternative sightseeing spot potentially attractive enough for tourists to replace a well-known sightseeing spot. We also propose a method to discover generic POIs and evaluate it. While the rapid spread of social networking services (SNSs) and social media makes tourism more familiar to people, it is further aggravating overtoursim around the world due to the nature of SNSs and social media, where users simultaneously find the same posts or articles recommending specific tourist spots and are attracted to the same destinations at the same time. As overtourism has severe influences on both visitors and local residents, it is essential to solve this problem. Although there are many studies providing ways of recommending less crowded tourist spots or mining less-known spots in a famous sightseeing area, we cannot apply those methods as a fundamental solution for overtourism for two reasons: 1) in many cases, the number of tourists already exceeds the touring area's total capacity; and 2) many approaches relying on a number of user-generated data points cannot discover unbusy sightseeing spots since users hardly post reviews nor images. To address these challenges, we propose a novel concept of generic POIs, alternative sightseeing spots to famous spots, and we propose a method to discover generic POIs, whose images are similar to those of existing famous sightseeing spots. We also evaluate our method with collected examples of generic POIs. We hope that the proposed method will help alleviate the overtourism problem in the real world as a first step.
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