Sieverts, E.: Slimmerds onder de zoekmachines (1998)
0.09
0.08753973 = product of:
0.17507946 = sum of:
0.14990337 = weight(_text_:engines in 2414) [ClassicSimilarity], result of:
0.14990337 = score(doc=2414,freq=4.0), product of:
0.2360301 = queryWeight, product of:
5.080822 = idf(docFreq=746, maxDocs=44218)
0.0464551 = queryNorm
0.63510275 = fieldWeight in 2414, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
5.080822 = idf(docFreq=746, maxDocs=44218)
0.0625 = fieldNorm(doc=2414)
0.025176099 = product of:
0.050352197 = sum of:
0.050352197 = weight(_text_:22 in 2414) [ClassicSimilarity], result of:
0.050352197 = score(doc=2414,freq=2.0), product of:
0.16267784 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0464551 = queryNorm
0.30952093 = fieldWeight in 2414, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=2414)
0.5 = coord(1/2)
0.5 = coord(2/4)
- Abstract
- Web search engines generally use best match search techniques, rather than traditional Boolean operators. Precision in searching will depend on the numbers of selected terms appearing in a document and the inclusion of less-common words in the search string. Users are, therefore, recommended to enter as many words as possible. ExCite and WebCrawler lead users from a relevant document to other documents containing similar word patterns, while MusCat and EuroFerret suggest additional keywords for searching
- Date
- 29.12.1998 11:22:34
- Footnote
- Übers. d. Titels: Top of the class among the search engines