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USERS' PARTIAL RELEVANCE JUDGEMENTS DURING ONLINE SEARCHING

机译:在线搜索过程中的用户部分相关性判断

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Users' relevance judgements are central to both the systems and user-oriented approaches to information retrieval (IR). A basic assumption of IR and online searching research has been that users always require the most 'highly' relevant items when using an IR system. This paper reports the results from research that sought to examine users conducting their initial online search on a particular information problem. Findings from three separate studies of relevance judgements by 44 initial search users were examined, including two studies of 13 end-users and a study of 18 users engaged in mediated online searches. Results show that the number of items judged 'partially' relevant (on the scale: relevant; partially relevant; not relevant) was found to correlate positively with changes in users': (1) criteria for making relevance judgements; (2) information problem definition; and (3) personal knowledge due to the search interaction; and also (4) search intermediaries' perceptions that a user's question and information problem has changed during the mediated search interaction. Items judged 'highly' relevant were not correlated with these factors. Results of the three studies suggest that: (1) a relationship exists between partially relevant items retrieved and changes in the users' information problem or question during an information seeking process; (2) partial relevance judgements play an important role for users in the early stages of seeking information on a particular information problem; and (3) 'highly' relevant items may or may not be the only items useful at the early stages of users' information seeking processes. Implications for the development of IR systems, relevance research and searching practice are also examined.
机译:用户的相关性判断对于系统和面向用户的信息检索(IR)方法都是至关重要的。 IR和在线搜索研究的基本假设是,使用IR系统时,用户始终需要最“高度相关”的项目。本文报告了研究的结果,这些研究试图检查对特定信息问题进行初始在线搜索的用户。审查了来自44个初始搜索用户的三项有关关联性判断的单独研究的结果,其中包括两项针对13个最终用户的研究和一项针对18位参与中介在线搜索的用户的研究。结果表明,被判定为“部分”相关的项目数量(在规模上:相关;部分相关;不相关)与用户的变化呈正相关:(1)做出相关性判断的标准; (2)信息问题定义; (3)搜索互动带来的个人知识; (4)搜索中介对用户的问题和信息问题在中介搜索交互过程中发生变化的看法。被判定为“高度相关”的项目与这些因素无关。这三项研究的结果表明:(1)在信息搜索过程中,检索到的部分相关项目与用户信息问题之间的关系存在关联; (2)部分相关性判断对用户在寻找有关特定信息问题的信息的早期阶段起着重要作用; (3)在用户信息搜索过程的早期阶段,“高度相关”的项目可能是也可能不是唯一有用的项目。还对IR系统开发,相关性研究和搜索实践的意义进行了研究。

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