Abstract: Abstract This paper examines statistical techniques for exploiting relevance information to weight search terms. These techniques are presented as a natural extension of weighting methods using information about the distribution of index terms in documents in general. A series of relevance weighting functions is derived and is justified by theoretical considerations. In particular, it is shown that specific weighted search methods are implied by a general probabilistic theory of retrieval. Different applications of relevance weighting are illustrated by experimental results for test collections.
Publication Year: 1976
Publication Date: 1976-05-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2076
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