“寻找光明”:利用当地天气数据加强旅游推荐服务

Mara Dionísio, T. Paulino, Trisha Suri, Nicolas Autzen, Johannes Schöning
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引用次数: 3

摘要

许多旅游目的地的经济严重依赖旅游业。因此,满足游客的期望是至关重要的,这样他们才会回到目的地。某些旅游岛屿的地理形成往往导致当地的气候,它可以是多雨和刮风在岛的一边,而另一部分是晴朗的。在本文中,我们提出了一种传感器网络的新用途,LightBeam,一种基于移动位置的应用程序,旨在改善游客的体验。该应用程序的重点是为寻求阳光的游客提供实时指导,通过向用户推荐最近的兴趣点(poi),获得“最佳阳光”,从而最大化他们的假期体验。为了实现这一目标,我们实施并安装了地理空间传感器网络。来自传感器网络的数据与用户的当前位置相结合,提供建议。我们报告了LightBeam的初步设计和原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"In search of light": enhancing touristic recommender services with local weather data
Many destinations' economies strongly rely on tourism. Therefore, it is crucial to meet tourists' expectations, so they will return to the destination. The geographical formation of certain touristic islands often leads to local climates where it can be rainy and windy on one side of the island, whereas the other part is sunny. In this paper, we present a novel use for a network of sensors, LightBeam, a mobile location-based application aiming to improve the tourists' experience. The application focuses on providing real-time guidance for tourists seeking sunlight to maximize their holiday experience by suggesting the closest points of interest (POIs) to the user with the "best sunlight". To achieve this, we implemented and installed a network of geospatial sensors. The data from the sensor network is combined with the current location of the users to provide recommendations. We report on the initial design and prototype of LightBeam.
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