IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Minimum-weight spanning tree algorithms a survey and empirical study
Computers and Operations Research
Information Retrieval
An analysis of queries intended to search information for children
Proceedings of the third symposium on Information interaction in context
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This paper proposes a novel method to estimate the breadth of a search query. Using the spatial distribution of relevant categories in a taxonomy, together with an 'importance' score obtained using a ranked list of search results, we derive a metric that represents the breadth of a query. Several experiments have been performed on the DMOZ hierarchy with two different sets of queries and benchmarked with state-of-the-art results. Evaluation of the method based on metrics such as F-measure and accuracy indicate better agreement with human judgements.