Frei, H.P.; Meienberg, S.; Schäuble, P.: ¬The perils of interpreting recall and precision values (1991)
0.01
0.0074575767 = product of:
0.018643942 = sum of:
0.00770594 = weight(_text_:a in 786) [ClassicSimilarity], result of:
0.00770594 = score(doc=786,freq=4.0), product of:
0.053464882 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046368346 = queryNorm
0.14413087 = fieldWeight in 786, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=786)
0.010938003 = product of:
0.021876005 = sum of:
0.021876005 = weight(_text_:information in 786) [ClassicSimilarity], result of:
0.021876005 = score(doc=786,freq=6.0), product of:
0.08139861 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046368346 = queryNorm
0.2687516 = fieldWeight in 786, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=786)
0.5 = coord(1/2)
0.4 = coord(2/5)
- Abstract
- The traditional recall and precision measure is inappropriate when retrieval algorithms that retrieve information from Wide Area Networks are evaluated. The principle reason is that information available in WANs is dynamic and its size os orders of magnitude greater than the size of the usual test collections. To overcome these problems, a new efffectiveness measure has been developed, which we call the 'usefulness measure'
- Source
- Information retrieval: GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings. Ed.: N. Fuhr
- Type
- a
