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This paper reports the use of a document distance-based approach toautomatically expand the number of available relevance judgements when theseare limited and reduced to only positive judgements. This may happen, forexample, when the only available judgements are extracted from a list ofreferences in a published review paper. We compare the results on two documentsets: OHSUMED, based on medical research publications, and TREC-8, based onnews feeds. We show that evaluations based on these expanded relevancejudgements are more reliable than those using only the initially availablejudgements, especially when the number of available judgements is very limited.

Document Distance for the Automated Expansion of Relevance Judgements for Information Retrieval Evaluation