Höfferer, M.: Heuristic search in information retrieval (1994)
0.01
0.005592722 = product of:
0.02796361 = sum of:
0.02796361 = weight(_text_:1 in 1664) [ClassicSimilarity], result of:
0.02796361 = score(doc=1664,freq=2.0), product of:
0.12878966 = queryWeight, product of:
2.4565027 = idf(docFreq=10304, maxDocs=44218)
0.052428056 = queryNorm
0.2171262 = fieldWeight in 1664, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.4565027 = idf(docFreq=10304, maxDocs=44218)
0.0625 = fieldNorm(doc=1664)
0.2 = coord(1/5)
- Abstract
- The paper describes an adaptive information retrieval system that uses heuristic search to sample a document space. IRAS consists of the following parts: (1) the information retrieval a*-algorithm for retrieving relevant documents according to a user's request, and (2) 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
