在一个维度上放大比在两个维度上放大更好:一个将搜索结果放置在受限站点地图上下文中的界面

M. Sifer, O. Liechti
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引用次数: 7

摘要

在不丢失上下文的情况下可视化大型层次结构是一个难题。为此开发了许多接口,其中许多使用变焦,有时与扭曲视图方法(如鱼眼镜头)相结合。这些接口大多数使用和缩放二维,而其他使用和缩放三维。我们提出了在SGviewer工具中实现的2D界面,该工具仅在一个维度上缩放。另一个维度用于传递子树深度。为了演示我们的界面,我们将其应用于显示搜索结果的问题。为大型站点或本地文件系统提供搜索结果通常很困难。通常匹配的页面或文件的数量很高。一种典型的方法是权衡匹配的相关性。另一种可以补充前一种方法的方法是在某些上下文中呈现结果,同时对结果进行聚类。我们将展示如何使用我们的界面来显示使用受限站点地图分类的搜索结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zooming in one dimension can be better than two: an interface for placing search results in context with a restricted sitemap
The visualisation of large hierarchies without losing context is a difficult problem. Many interfaces have been developed for this, and many of these use zooming, which is sometimes combined with a distortion view method such as a fisheye lense. Most of these interfaces use and zoom in two dimensions, while others use and zoom in three dimensions. We present a 2D interface realised in the SGviewer tool which zooms in only one dimension. The other dimension is used to convey subtree depth. To demonstrate our interface, we apply it to the problem of presenting search results. The delivery of search results either for a large site, or for a local file system is often difficult. Often the number of matching pages or files is high. A typical approach to this, is to weight the relevance of the matches. An alternative approach which can complement the former is to present the results in some context, clustering the results at the same time. We show how our interface can be used to present search results classified with a restricted sitemap.
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