Location Digest: A placeness service to discover community experience using social media

Gaurav Kalra, Hoang Minh Nguyen, Wondeuk Yoon, Dongman Lee, Daeyoung Kim
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引用次数: 2

Abstract

Sociality plays a vital role in our daily lives. Be it a hyper-local search for finding a restaurant to eat or a global search for your next travel destination; as humans, we tend to make our choices considering the social atmosphere offered by the place. Placeness, in this context, refers to the social and cultural semantics of the space under consideration and represents the distinctiveness of a place. In this paper, we aim to discover placeness as the exemplary community experience associated with a given location. We do this by, first adopting a flexible methodology for mining placeness, and then proposing a novel unsupervised mechanism for discovering placeness. Furthermore, we implement placeness as an IoT service for Smart City dwellers, calling it as Location Digest, by using GS1 standards-based Open Language for the Internet of Things (Oliot) platform. We report a sufficiently high F1-score of 0.81 for our unsupervised placeness discovery mechanism and present Location Digest as an essential service for assisting tourists in a Smart City.
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地点文摘:一个利用社交媒体发现社区经验的地点服务
社交在我们的日常生活中起着至关重要的作用。无论是在本地搜索餐馆,还是在全球搜索你的下一个旅行目的地;作为人类,我们往往会根据一个地方提供的社会氛围来做出选择。在这种情况下,地点性指的是所考虑的空间的社会和文化语义,代表了一个地方的独特性。在本文中,我们的目标是发现地方性作为与特定地点相关的模范社区体验。为此,我们首先采用一种灵活的方法来挖掘地点,然后提出一种新的无监督机制来发现地点。此外,我们通过使用基于GS1标准的物联网开放语言(Oliot)平台,为智慧城市居民实现位置作为物联网服务,称之为位置文摘。我们的无监督地点发现机制获得了足够高的f1分数0.81,并将位置文摘作为智慧城市中协助游客的基本服务。
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