Retrieval feedback in MEDLINE.
OBJECTIVE
To investigate a new approach for query expansion based on retrieval feedback. The first objective in this study was to examine alternative 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 expansion on both the MeSH and the free-text fields. The second objective was to gain further understanding of retrieval feedback by examining possible dependencies on relevant documents during the feedback cycle.


METHODS
Comparative study of retrieval effectiveness using the original unexpanded and the alternative expanded user queries on a MEDLINE test collection of 75 queries and 2,334 MEDLINE citations.


METHODS
Retrieval effectivenesses of the original unexpanded and the alternative expanded queries were compared using 11-point-average precision scores (11-AvgP). These are averages of precision scores obtained at 11 standard recall points.


RESULTS
All three expansion strategies significantly 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 expansion yields significant performance improvements independent of the availability of relevant documents for feedback information.


CONCLUSIONS
Retrieval feedback offers a robust procedure for query expansion that is most effective for MEDLINE when applied to the MeSH field.
Srinivasan
P
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Department of Computer Science, Cornell University, Ithaca, NY, USA. padmini-srinivasan@uiowa.edu
D005246:Feedback; D008523:MEDLARS; D016239:MEDLINE; D008722:Methods; D013358:Subject Headings