寻找基于位置的帖子的交流热点

Saija Lemmelä, Hannu Korhonen
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引用次数: 9

摘要

越来越多的基于位置的公共帖子将挑战当前基于位置信息的可视化和访问方法。我们工作的目的是提供基于位置的帖子的清晰概述,并支持用户轻松访问感兴趣的信息。我们设计了一个原型,在地图视图上使用半透明的热图来可视化感兴趣区域的张贴密度。自动提取关键字和动态时间选择支持基于位置的公开帖子的搜索和过滤。根据我们的评估,用户发现热图是一种熟悉的基于位置信息的抽象。聚类并在地图视图中将突出的单词显示为关键字被认为是特别有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding communication hot spots of location-based postings
The growing amount of location-based public postings will challenge the current visualization and access methods of location-based information. The aim of our work is to provide a clear overview of location-based postings and to support easy access to information the user is interested in. We designed a prototype using a semi-transparent heat map over a map view to visualize posting density on the area of interest. Automatically extracted keywords and dynamic time selection support the search and filtering of location-based public postings. Based on our evaluation, users found the heat map as a familiar abstraction of the location based information. Clustering and displaying the salient words as keywords over the map view was considered to be especially useful.
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