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首页> 美国卫生研究院文献>AMIA Annual Symposium Proceedings >Does Query Expansion Limit Our Learning? A Comparison of Social-Based Expansion to Content-Based Expansion for Medical Queries on the Internet
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Does Query Expansion Limit Our Learning? A Comparison of Social-Based Expansion to Content-Based Expansion for Medical Queries on the Internet

机译：查询扩展是否会限制我们的学习？互联网上医疗查询的基于社交的扩展与基于内容的扩展的比较

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摘要

Searching for medical information online is a common activity. While it has been shown that forming good queries is difficult, Google’s query suggestion tool, a type of query expansion, aims to facilitate query formation. However, it is unknown how this expansion, which is based on what others searched for, affects the information gathering of the online community. To measure the impact of social-based query expansion, this study compared it with content-based expansion, i.e., what is really in the text. We used 138,906 medical queries from the AOL User Session Collection and expanded them using Google’s Autocomplete method (social-based) and the content of the Google Web Corpus (content-based). We evaluated the specificity and ambiguity of the expansion terms for trigram queries. We also looked at the impact on the actual results using domain diversity and expansion edit distance. Results showed that the social-based method provided more precise expansion terms as well as terms that were less ambiguous. Expanded queries do not differ significantly in diversity when expanded using the social-based method (6.72 different domains returned in the first ten results, on average) vs. content-based method (6.73 different domains, on average).
机译：在线搜索医疗信息是一项常见的活动。虽然已经证明很难形成良好的查询，但是Google的查询建议工具（一种查询扩展）旨在促进查询的形成。但是，基于其他人的搜索结果的这种扩展如何影响在线社区的信息收集尚不清楚。为了衡量基于社交的查询扩展的影响，本研究将其与基于内容的扩展（即文本中的实际内容）进行了比较。我们使用了来自AOL用户会话集合的138,906个医疗查询，并使用Google的自动填充方法（基于社交）和Google Web语料库的内容（基于内容）扩展了这些查询。我们评估了三词组查询扩展词的特殊性和歧义性。我们还研究了使用域多样性和扩展编辑距离对实际结果的影响。结果表明，基于社会的方法提供了更精确的扩展项以及不太模糊的项。与基于内容的方法（平均为6.73个不同的域）相比，使用基于社交的方法（平均在前十个结果中返回6.72个不同的域）进行扩展时，扩展后的查询在多样性上没有显着差异。

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