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On the query reformulation technique for effective MEDLINE document retrieval
DC Field | Value | Language |
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dc.contributor.author | Yoo, Sooyoung | - |
dc.contributor.author | Choi, Jinwook | - |
dc.date.accessioned | 2012-06-28T08:32:35Z | - |
dc.date.available | 2012-06-28T08:32:35Z | - |
dc.date.issued | 2010-10 | - |
dc.identifier.citation | JOURNAL OF BIOMEDICAL INFORMATICS; Vol.43 5; 686-693 | ko_KR |
dc.identifier.issn | 1532-0464 | - |
dc.identifier.uri | https://hdl.handle.net/10371/77806 | - |
dc.description.abstract | Improving the retrieval accuracy of MEDLINE documents is still a challenging issue due to low retrieval precision. Focusing on a query expansion technique based on pseudo-relevance feedback (PRF), this paper addresses the problem by systematically examining the effects of expansion term selection and adjustment of the term weights of the expanded query using a set of MEDLINE test documents called OHSUMED. Implementing a baseline information retrieval system based on the Okapi BM25 retrieval model, we compared six well-known term ranking algorithms for useful expansion term selection and then compared traditional term reweighting algorithms with our new variant of the standard Rocchio`s feedback formula, which adopts a group-based weighting scheme. Our experimental results on the OHSUMED test collection showed a maximum improvement of 20.2% and 20.4% for mean average precision and recall measures over unexpanded queries when terms were expanded using a co-occurrence analysis-based term ranking algorithm in conjunction with our term reweighting algorithm (p-value < 0.05). Our study shows the behaviors of different query reformulation techniques that can be utilized for more effective MEDLINE document retrieval. (c) 2010 Elsevier Inc. All rights reserved. | ko_KR |
dc.description.sponsorship | This work was supported in part by a grant from the Advanced
Biometric Research Center (ABRC) and the Korea Science and Engineering Foundation (KOSEF), and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MEST) (No. 2009-0075089). | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | ko_KR |
dc.subject | MEDLINE | ko_KR |
dc.subject | Comprehensive evaluation | ko_KR |
dc.subject | Query reformulation | ko_KR |
dc.subject | Information retrieval | ko_KR |
dc.title | On the query reformulation technique for effective MEDLINE document retrieval | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 유수영 | - |
dc.contributor.AlternativeAuthor | 최진욱 | - |
dc.identifier.doi | 10.1016/j.jbi.2010.04.005 | - |
dc.citation.journaltitle | JOURNAL OF BIOMEDICAL INFORMATICS | - |
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