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Erschienen in:
1994 | OriginalPaper | Buchkapitel
Document Filtering for Fast Ranking
verfasst von : Michael Persin
Erschienen in: SIGIR ’94
Verlag: Springer London
Enthalten in: Professional Book Archive
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Ranking techniques are effective for finding answers in document collections but the cost of evaluation of ranked queries can be unacceptably high. We propose an evaluation technique that reduces both main memory usage and query evaluation time. based on early recognition of which documents are likely to be highly ranked. Our experiments show that, for our test data, the proposed technique evaluates queries in 20% of the time and 2% of the memory taken by the standard inverted file implementation, without degradation in retrieval effectiveness.