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首页> 外文期刊>Journal of the American Society for Information Science and Technology >Relevance Criteria Identified by Health Information Users During Web Searches
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Relevance Criteria Identified by Health Information Users During Web Searches

机译:健康信息用户在Web搜索期间确定的相关性标准

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This article focuses on the relevance judgments made by health information users who use the Web. Health information users were conceptualized as motivated information users concerned about how an environmental issue affects their health. Users identified their own environmental health interests and conducted a Web search of a particular environmental health Web site. Users were asked to identify (by highlighting with a mouse) the criteria they use to assess relevance in both Web search engine surrogates and full-text Web documents. Content analysis of document criteria highlighted by users identified the criteria these users relied on most often. Key criteria identified included (in order of frequency of appearance) research, topic, scope, data, influence, affiliation, Web characteristics, and authority/ person. A power-law distribution of criteria was observed (a few criteria represented most of the highlighted regions, with a long tail of occasionally used criteria). Implications of this work are that information retrieval (IR) systems should be tailored in terms of users' tendencies to rely on certain document criteria, and that relevance research should combine methods to gather richer, contextualized data. Metadata for IR systems, such as that used in search engine surrogates, could be improved by taking into account actual usage of relevance criteria. Such metadata should be user-centered (based on data from users, as in this study) and context-appropriate (fit to users' situations and tasks).
机译:本文重点介绍使用Web的健康信息用户做出的相关性判断。健康信息用户被概念化为关注环境问题如何影响其健康的积极信息用户。用户确定了自己对环境健康的兴趣,并对特定的环境健康网站进行了Web搜索。要求用户标识(用鼠标突出显示)他们用来评估Web搜索引擎代理和全文Web文档中的相关性的标准。用户突出显示的文档标准的内容分析确定了这些用户最常使用的标准。确定的关键标准包括(按出现的频率顺序)研究,主题,范围,数据,影响,从属关系,网站特征和权限/人员。观察到标准的幂律分布(少数标准代表了大多数突出显示的区域,偶尔使用的标准的尾巴很长)。这项工作的含义是,应根据用户倾向于依赖某些文档标准的倾向来量身定制信息检索(IR)系统,并且相关性研究应结合各种方法来收集更丰富的上下文数据。通过考虑关联标准的实际使用情况,可以改善IR系统的元数据,例如搜索引擎替代中使用的元数据。这样的元数据应该以用户为中心(如本研究中那样,基于用户的数据),并且要适合上下文(适合用户的情况和任务)。

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