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.
- assumption,
- classical,
- dipl_literatur
- f4,
- gewichtung
- idf
- independence,
- information,
- informationsbedarfsanalyse
- information_retrieval
- ir
- ir,
- ordering,
- principle,
- probabilistic,
- ranking
- relevance
- relevance,
- relevance_weighting
- relevanz
- retrieval,
- search_engines
- search_terms
- suchterme
- terms
- weighting
- wismasys0809
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