Document (#10733)

Author

Höfferer, M.

Title

Heuristic search in information retrieval

Source

Information retrieval: new systems and current research. Proceedings of the 15th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Glasgow, 1993. Ed.: R. Leon

Imprint

London : Taylor Graham

Year

1994

Pages

S.81-90

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

Similar documents (content)

1. Hofferer, M.: Heuristic search in information retrieval (1994) 2.37

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2. Sormunen, E.; Kekäläinen, J.; Koivisto, J.; Järvelin, K.: Document text characteristics affect the ranking of the most relevant documents by expanded structured queries (2001) 0.27

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3. Bartell, B.T.; Cottrell, G.W.; Belew, R.K.: Optimizing similarity using multi-query relevance feedback (1998) 0.24

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4. Daoud, M.; Huang, J.X.: Modeling geographic, temporal, and proximity contexts for improving geotemporal search (2013) 0.23

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5. Maron, M.E.; Kuhns, I.L.: On relevance, probabilistic indexing and information retrieval (1960) 0.22

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