Document (#18762)

Author

Smith, M.P.
Smith, M.

Title

¬The use of genetic programming to build Boolean queries for text retrieval through relevance feedback

Source

Journal of information science. 23(1997) no.6, S.423-431

Year

1997

Abstract

Reports preliminary work on the use of evolutionary computing techniques to improve Boolean information retrieval system performance through relevance feedback, such as neural networks and genetic algorithms. One specific form of genetic algorithm technique was used: that of genetic programming. Terms from relevant documents are used to create randomly Boolean queries. Boolean queires are thought of as genetic programming organisms and, as such, are used for breeding to produce new organisms. Organisms which perform well, in terms of how good they are at retrieval, are given a better chance of being selected for breeding, with the result being that the overall fitness of the organisms improve to some extent. The aim is to develop the best Boolean query for an information need, given a small corpus of test documents, and then to use that query on the full collection to retrieve yet more relevant documents

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5. Smith, M.; Smith, M.P.; Wade, S.J.: Applying genetic programming to the problem of term weight algorithms (1995) 0.24

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