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An approach to building high-quality tag hierarchies from crowdsourced taxonomic tag pairs

机译:一种从众包分类标签对构建高质量标签层次结构的方法

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摘要

Building taxonomies for web content is costly. An alternative is to allow users to create folksonomies, collective social classifications. However, folksonomies lack structure and their use for searching and browsing is limited. Current approaches for acquiring latent hierarchical structures from folksonomies have had limited success. We explore whether asking users for tag pairs, rather than individual tags, can increase the quality of derived tag hierarchies. We measure the usability cost, and in particular cognitive effort required to create tag pairs rather than individual tags. Our results show that when applied to tag pairs a hierarchy creation algorithm (Heymann-Benz) has superior performance than when applied to individual tags, and with little impact on usability. However, the resulting hierarchies lack richness, and could be seen as less expressive than those derived from individual tags. This indicates that expressivity, not usability, is the limiting factor for collective tagging approaches aimed at crowdsourcing taxonomies
机译:建立Web内容分类法的成本很高。另一种选择是允许用户创建民间分类法,集体社会分类。但是,民俗分类法缺乏结构,它们在搜索和浏览中的使用受到限制。当前从民俗分类法中获取潜在分层结构的方法取得的成功有限。我们探讨了询问用户标签对而不是单个标签是否可以提高派生标签层次结构的质量。我们测量可用性成本,尤其是创建标签对而不是单个标签所需的认知努力。我们的结果表明,当应用于标签对时,层次结构创建算法(Heymann-Benz)的性能要优于应用于单独的标签,并且对可用性的影响很小。但是,由此产生的层次结构缺乏丰富性,并且可以表现为比从单个标签派生的层次结构表现力低。这表明表达性而非可用性是针对众包分类法的集体标记方法的限制因素

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