RETRIEVAL FEEDBACK IN MEDLINE

Authors
Citation
P. Srinivasan, RETRIEVAL FEEDBACK IN MEDLINE, Journal of the American Medical Informatics Association, 3(2), 1996, pp. 157-167
Citations number
23
Categorie Soggetti
Information Science & Library Science","Computer Science Information Systems","Information Science & Library Science","Medical Informatics
ISSN journal
10675027
Volume
3
Issue
2
Year of publication
1996
Pages
157 - 167
Database
ISI
SICI code
1067-5027(1996)3:2<157:RFIM>2.0.ZU;2-4
Abstract
Objective: To investigate a new approach for query expansion based on retrieval feedback. The first objective in this study was to examine a lternative query-expansion methods within the same retrieval-feedback framework. The three alternatives proposed are: expansion on the MeSH query field alone, expansion on the free-text field alone, and expansi on on both the MeSH and the free-text fields. The second objective was to gain further understanding of retrieval feedback by examining poss ible dependencies on relevant documents during the feedback cycle. Des ign: Comparative study of retrieval effectiveness using the original u nexpanded and the alternative expanded user queries on a MEDLINE test collection of 75 queries and 2,334 MEDLINE citations. Measurements: Re trieval effectivenesses of the original unexpanded and the alternative expanded queries were compared using 11-point-average precision score s (11-AvgP). These are averages of precision scores obtained at 11 sta ndard recall points. Results: All three expansion strategies significa ntly improved the original queries in terms of retrieval effectiveness . Expansion on MeSH alone was equivalent to expansion on both MeSH and the free-text fields. Expansion on the free-text field alone improved the queries significantly less than did the other two strategies. The second part of the study indicated that retrieval-feedback-based expa nsion yields significant performance improvements independent of the a vailability of relevant documents for feedback information. Conclusion s: Retrieval feedback offers a robust procedure for query expansion th at is most effective for MEDLINE when applied to the MeSH field.