Hofferer, M.: Heuristic search in information retrieval (1994)
0.01
0.007690453 = product of:
0.053833168 = sum of:
0.026916584 = weight(_text_:classification in 1070) [ClassicSimilarity], result of:
0.026916584 = score(doc=1070,freq=2.0), product of:
0.09562149 = queryWeight, product of:
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.03002521 = queryNorm
0.28149095 = fieldWeight in 1070, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.0625 = fieldNorm(doc=1070)
0.026916584 = weight(_text_:classification in 1070) [ClassicSimilarity], result of:
0.026916584 = score(doc=1070,freq=2.0), product of:
0.09562149 = queryWeight, product of:
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.03002521 = queryNorm
0.28149095 = fieldWeight in 1070, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.0625 = fieldNorm(doc=1070)
0.14285715 = coord(2/14)
- Abstract
- Describes an adaptive information retrieval system: Information Retrieval Algorithm System (IRAS); that uses heuristic searching to sample a document space and retrieve relevant documents according to users' requests; and also a learning module based on a knowledge representation system and an approximate probabilistic characterization of relevant documents; to reproduce a user classification of relevant documents and to provide a rule controlled ranking