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IR evaluation methods for retrieving highly relevant documents
2000
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00
This paper proposes evaluation methods based on the use of non-dichotomous relevance judgements in IR experiments. It is argued that evaluation methods should credit IR methods for their ability to retrieve highly relevant documents. This is desirable from the user point of view in modem large IR environments. The proposed methods are (1) a novel application of P-R curves and average precision computations based on separate recall bases for documents of different degrees of relevance, and (2)
doi:10.1145/345508.345545
dblp:conf/sigir/JarvelinK00
fatcat:hkpa4u7czngshfmmfjrv5ujovm