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| Algorithms | 2 |
| Information Retrieval | 2 |
| Relevance (Information… | 2 |
| Genetics | 1 |
| Mathematical Formulas | 1 |
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| Boughanem, M. | 2 |
| Chrisment, C. | 1 |
| Christment, C. | 1 |
| Soule-Dupuy, C. | 1 |
| Tamine, L. | 1 |
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Peer reviewedBoughanem, M.; Christment, C.; Tamine, L. – Journal of the American Society for Information Science and Technology, 2002
Presents a genetic relevance optimization process performed in an information retrieval system that uses genetic techniques for solving multimodal problems (niching) and query reformulation techniques. Explains that the niching technique allows the process to reach different relevance regions of the document space, and that query reformulations…
Descriptors: Algorithms, Genetics, Information Retrieval, Relevance (Information Retrieval)
Peer reviewedBoughanem, M.; Chrisment, C.; Soule-Dupuy, C. – Information Processing & Management, 1999
Presents a relevance-feedback strategy that improves the effectiveness of information-retrieval systems based on back-propagation of the relevance of retrieved documents using an algorithm developed in a neural approach. Describes a neural information-retrieval model and reports results obtained with the algorithm in three different environments.…
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Models
