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Abstract 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 McSH 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 McSH search terms to a user's initial query.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 88 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |