Document (#33077)

Author

López-Pujalte, C.
Guerrero-Bote, V.P.
Moya-Anegón, F. de

Title

Genetic algorithms in relevance feedback : a second test and new contributions

Source

Information processing and management. 39(2003) no.5, S.669-687

Year

2003

Abstract

The present work is the continuation of an earlier study which reviewed the literature on relevance feedback genetic techniques that follow the vector space model (the model that is most commonly used in this type of application), and implemented them so that they could be compared with each other as well as with one of the best traditional methods of relevance feedback--the Ide dec-hi method. We here carry out the comparisons on more test collections (Cranfield, CISI, Medline, and NPL), using the residual collection method for their evaluation as is recommended in this type of technique. We also add some fitness functions of our own design.

Theme

Retrievalalgorithmen

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2. López-Pujalte, C.; Guerrero-Bote, V.P.; Moya-Anegón, F. de: Order-based fitness functions for genetic algorithms applied to relevance feedback (2003) 0.29

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3. Smith, M.P.; Smith, M.: ¬The use of genetic programming to build Boolean queries for text retrieval through relevance feedback (1997) 0.28

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4. Petry, F.E.; Buckles, B.P.; Prabhu, D.: Fuzzy information retrieval using genetic algorithms and relevance feedback (1993) 0.18

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5. Meij, E.; Trieschnigg, D.; Rijke, M. de; Kraaij, W.: Conceptual language models for domain-specific retrieval (2010) 0.18

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