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Tags in Domain-Specific Sites - New Information?

机译:特定于域的网站中的标签 - 新信息?

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If researchers use tags in retrieval applications they might assume, implicitly, that tags represent novel information, e.g., when they attribute performance improvement in their retrieval algorithm(s) to the use of tags. In this work, we investigate whether this assumption is true. We focus on the use of tags in domain-specific websites because such websites are more likely to have a coherent, discernible website structure and because the users that are searching for and tagging pages in such a site may have specific information needs (as opposed to the broad range of information needs that users have when browsing/searching the Internet at large). For this study, we assume that the application of the same tag to multiple pages provides an indication that those pages are related. To determine whether this indication of relatedness is contributing new information, we first measure whether pages with common tag(s) could have been deemed as related based on site structure as measured by shortest navigational distance between pages. Second, we measure whether or not tags could have been determined algorithmically based on standard tf-idf scores of terms on the page. Based on our analysis of two different sites, we found that tags contribute novel information that is not discernible from site structure or site/page content.
机译:如果研究人员在检索应用中使用标签,它们可能会隐含地假设该标签代表新颖的信息,例如,当它们在其检索算法中属性改进到使用标签时。在这项工作中,我们调查了这个假设是真的。我们专注于在域特定网站中使用标签,因为此类网站更有可能具有连贯,可辨别的网站结构,并且因为在此类站点中搜索和标记页面的用户可能具有特定信息需求(而不是广泛的信息需要用户在浏览/搜索互联网时)。对于本研究,我们假设与多个页面相同的标记的应用提供了这些页面相关的指示。为了确定相关性是否有贡献新信息,我们首先衡量具有常用标签的页面是否可以被认为是基于现场结构的相关关系,从页面之间的最短导航距离测量。其次,我们衡量标签是否可以根据页面上的标准TF-IDF分数来算法确定标签。根据我们对两个不同网站的分析,我们发现标签贡献了从站点结构或站点/页面内容辨别的新颖信息。

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