Wong, W.Y.P.; Lee, D.L.: Implementation of partial document ranking using inverted files (1993)
0.00
0.0045768693 = product of:
0.032038085 = sum of:
0.008071727 = weight(_text_:information in 6539) [ClassicSimilarity], result of:
0.008071727 = score(doc=6539,freq=2.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.1551638 = fieldWeight in 6539, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=6539)
0.023966359 = weight(_text_:retrieval in 6539) [ClassicSimilarity], result of:
0.023966359 = score(doc=6539,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.26736724 = fieldWeight in 6539, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0625 = fieldNorm(doc=6539)
0.14285715 = coord(2/14)
- Abstract
- Examines the implementations of document ranking based on inverted files. Studies three heuristic methods for implementing the term frequency X inverse document frequency weighting strategy. The basic idea of the heuristic methods is to process the query terms in an order so that as many top documents as possible can be identified without processing all of the query terms. The heuristics were evaluated and compared. The results show improved performance. Two methods for estimating the retrieval accuracy were studied. All experiments were based on four test collection made available with the SMART system
- Source
- Information processing and management. 29(1993) no.5, S.647-669