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공공누리This item is licensed Korea Open Government License

Title
Cluster-based Query Expansion using External Collections in Medical Information Retrieval
Author(s)
오흥선정유철
Publication Year
2015-09-30
Abstract
Utilizing external collections to improve retrieval performance is challenging research because various test collections are created for different purposes. Improving medical information retrieval has also gained much attention as various types of medical documents have become available to researchers ever since they started storing them in machine processable formats. In this paper, we propose an effective method of utilizing external collections based on the pseudo relevance feedback approach. Our method incorporates the structure of external collections in estimating individual components in the final feedback model. Extensive experiments on three medical collections (TREC CDS, CLEF eHealth, and OHSUMED) were performed, and the results were compared with a representative expansion approach utilizing the external collections to show the superiority of our method
Keyword
Query expansion; External collections; Language models
Journal Title
Journal of Biomedical Informatics
Citation Volume
50
ISSN
1532-0464
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14486
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART74333099
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