Document (#10139)

Author

Hofferer, 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.: Ruben Leon

Imprint

London : Taylor Graham

Year

1994

Pages

S.81-90

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

Theme

Retrievalalgorithmen

Object

IRAS

Similar documents (content)

1. Höfferer, M.: Heuristic search in information retrieval (1994) 2.77

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2. Bartell, B.T.; Cottrell, G.W.; Belew, R.K.: Optimizing similarity using multi-query relevance feedback (1998) 0.28

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3. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.23

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4. Sormunen, E.; Kekäläinen, J.; Koivisto, J.; Järvelin, K.: Document text characteristics affect the ranking of the most relevant documents by expanded structured queries (2001) 0.22

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5. Radev, D.; Fan, W.; Qu, H.; Wu, H.; Grewal, A.: Probabilistic question answering on the Web (2005) 0.22

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