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On the impact of domain expertise on query formulation,relevance assessment and retrieval performance in clinical settings

机译：关于领域专业知识对临床环境中查询公式，相关性评估和检索性能的影响

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摘要

The large volumes of medical information available on the web may provide answers for a wide range of users attempting to solve health-related problems. While experts generally utilize reliable resources for diagnosis search and professional development, novices utilize different (social) web resources to obtain information that helps them manage their health or the health of people who they care for. A diverse number of related search topics address clinical diagnosis, advice searching, information sharing, connecting with experts, etc. This paper focuses on the extent to which expertise can impact clinical query formulation, document relevance assessment and retrieval performance in the context of tailoring retrieval models and systems to experts vs. non-experts. The results show that medical domain expertise 1) plays an important role in the lexical representations of information needs; 2) significantly influences the perception of relevance even among users with similar levels of expertise and 3) reinforces the idea that a single ground truth does not exist, thereby leading to the variability of system rankings with respect to the level of user's expertise. The findings of this study presents opportunities for the design of personalized health-related IR systems, but also for providing insights about the evaluation of such systems.
机译：网络上可用的大量医学信息可能为尝试解决与健康相关的问题的广泛用户提供答案。虽然专家通常会使用可靠的资源进行诊断搜索和专业发展，但是新手会利用不同的（社交）网络资源来获取有助于他们管理自己的健康或所护理人员的健康的信息。大量相关的搜索主题涉及临床诊断，建议搜索，信息共享，与专家联系等。本文着眼于专业知识在量身定制的检索范围内对临床查询表述，文档相关性评估和检索性能的影响程度专家和非专家的模型和系统。结果表明，医学领域的专业知识1）在信息需求的词汇表述中起着重要作用； 2）即使在具有相似专业知识水平的用户中，也极大地影响了相关性的感知； 3）增强了一个事实，即不存在单个基本事实，从而导致系统排名随用户专业知识水平的变化而变化。这项研究的发现为个性化健康相关IR系统的设计提供了机会，同时也为此类系统的评估提供了见识。

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