广义与狭义大众分类法的导航效率

D. Helic, Christian Körner, M. Granitzer, M. Strohmaier, C. Trattner
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引用次数: 24

摘要

虽然许多社会标签系统共享一个共同的三方图结构,但产生这些结构的协作过程可能有很大的不同。例如,Delicious上的资源通常由所有为cnn.com网页添加书签的用户标记,而Flickr上的照片通常只由上传照片的单个用户标记。在文献中,这种区别被描述为广义与狭义大众分类法之间的区别。本文旨在探讨社会超文本系统中广义和狭义民俗分类法的导航差异。我们在Mendeley提供的数据集上研究了这两种分类法。Mendeley是一个协作平台,用户可以在这个平台上用标签注释和组织科学文章。我们的实验表明,广泛的大众分类法对导航更有用,而产生大众分类法的协作过程在质量上很重要。我们的发现是相关的系统设计师和工程师旨在提高社会标签系统的可导航性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigational efficiency of broad vs. narrow folksonomies
Although many social tagging systems share a common tripartite graph structure, the collaborative processes that are generating these structures can differ significantly. For example, while resources on Delicious are usually tagged by all users who bookmark the web page cnn.com, photos on Flickr are usually tagged just by a single user who uploads the photo. In the literature, this distinction has been described as a distinction between broad vs. narrow folksonomies. This paper sets out to explore navigational differences between broad and narrow folksonomies in social hypertextual systems. We study both kinds of folksonomies on a dataset provided by Mendeley - a collaborative platform where users can annotate and organize scientific articles with tags. Our experiments suggest that broad folksonomies are more useful for navigation, and that the collaborative processes that are generating folksonomies matter qualitatively. Our findings are relevant for system designers and engineers aiming to improve the navigability of social tagging systems.
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