Query expansion and MEDLINE

Query expansion and MEDLINE
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DOI:
10.1016/0306-4573(95)00076-3
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发表时间:
1996-07-01
影响因子:
8.6
通讯作者:
Srinivasan, P
Srinivasan, P
中科院分区:
计算机科学1区
文献类型:
--
作者:
Srinivasan, P

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本文使用康奈尔大学的 SMART 检索系统评估了 MEDLINE 测试集上查询扩展策略的检索有效性。测试了三种扩展策略为用户查询识别适当的 MeSH 术语的能力:使用跨领域统计同义词库的扩展、通过检索反馈的扩展以及使用组合方法的扩展。这些扩展策略不需要事先做出相关决策。该研究比较了使用原始未扩展用户查询和替代扩展用户查询对 75 个查询和 2334 个 MEDLINE 引用的集合的检索有效性。使用十一点平均精度分数 (11-AvgP) 评估检索有效性。使用同义词库扩展和检索反馈相结合,比 0.5169 11-AvgP 的基线性能提高了 17%。然而,这种改进几乎与通过检索反馈进行扩展所实现的改进 (16.4%) 相同。使用跨字段同义词库的查询扩展在相同基线上提供了显着但较低的性能改进 (9.9%)。本研究建议使用检索反馈来扩展查询,将 MeSH 搜索词添加到用户的初始查询中。版权所有 (C) 1996 爱思唯尔科学有限公司
This paper evaluates the retrieval effectiveness of query expansion strategies on a MEDLINE test collection using Cornell University's SMART retrieval system. Three expansion strategies are tested on their ability to identify appropriate MeSH terms for user queries: expansion using an inter-field statistical thesaurus, expansion via retrieval feedback and expansion using a combined approach. These expansion strategies do not require prior relevance decisions. The study compares retrieval effectiveness using the original unexpanded and the alternative expanded user queries on a collection of 75 queries and 2334 MEDLINE citations. Retrieval effectiveness is assessed using eleven point average precision scores (11-AvgP). The combination of expansion using the thesaurus followed by retrieval feedback gives the best improvement of 17% over a baseline performance of 0.5169 11-AvgP. However this improvement is almost identical to that achieved by expansion via retrieval feedback (16.4%). Query expansion using the inter-field thesaurus gives a significant but lower performance improvement (9.9%) over the same baseline. This study recommends query expansion using retrieval feedback for adding MeSH search terms to a user's initial query. Copyright (C) 1996 Elsevier Science Ltd