Document (#26012)

Author

Boughanem, M.
Chrisment, C.
Tamine, L.

Title

On using genetic algorithms for multimodal relevance optimization in information retrieval

Source

Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.934-943

Year

2002

Abstract

Boughanem, Chrisment, and Tamine use 144,186 documents and 25 queries from the TREC corpus AP88 to evaluate a genetic algorithm for multiple query evaluation against single query evaluation. They demonstrate niche construction by the use of a genetic technique to reproduce queries more often if they retrieve more relevant documents (genotypic sharing), or if they have close evaluation results (phenotypic sharing).New documents generated in each iteration are ranked by a merge based on one of these two principles. Genotypic sharing yields improvements of from 6% to 15% over single query evaluation, and phenotypic sharing shows from 5% to 15% improvement. Thus the niching technique appears to offer the possibility of successful merging of different query expressions.

Theme

Retrievalalgorithmen

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