Huffman, G.D.: Semi-automatic determination of citation relevancy : user evaluation (1990)
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- Abstract
- Online bibiographic, database searches typically produce hundreds of retrieved citations with only about 20-40% relevant to the search topic and/or problem statement. Significant amounts of time are required to categorize and select the relevant citations. A software system-SORT-AIDS/SABRE-has been developes which ranks the citations in terms of relevance. This paper presents the results of a comprehensive user evaluation of the relevance ranking procedures. Test results show that the software generated distributions approach the ideal distribution-all relevant citations at the beginning of the collection-in 22% of the cases, are 23% better than the random distribution-relevant citations distributed uniformly throughout the dcollection-on average and are poorer than the random distribution in 4% of the cae.