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| Algorithms | 2 |
| Comparative Analysis | 2 |
| Genetics | 2 |
| Information Retrieval | 2 |
| Relevance (Information… | 2 |
| Artificial Intelligence | 1 |
| Databases | 1 |
| Evaluation Methods | 1 |
| Feedback | 1 |
| Mathematical Formulas | 1 |
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| Lopez-Pujalte, Cristina | 2 |
| Guerrero Bote, Vicente P. | 1 |
| Guerrero-Bote, Vicente P. | 1 |
| Moya Anegon, Felix de | 1 |
| de Moya-Anegon, Felix | 1 |
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| Journal Articles | 2 |
| Reports - Descriptive | 2 |
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Peer reviewedLopez-Pujalte, Cristina; Guerrero-Bote, Vicente P.; de Moya-Anegon, Felix – Journal of the American Society for Information Science and Technology, 2003
Discusses genetic algorithms in information retrieval, especially for relevance feedback, and evaluates the efficacy of a genetic algorithm with various order-based fitness functions for relevance feedback in a test database. Compares results with the Ide dec-hi method, one of the best traditional methods. (Contains 56 references.) (Author/LRW)
Descriptors: Algorithms, Comparative Analysis, Databases, Genetics
Peer reviewedLopez-Pujalte, Cristina; Guerrero Bote, Vicente P.; Moya Anegon, Felix de – Information Processing & Management, 2002
Discussion of information retrieval, query optimization techniques, and relevance feedback focuses on genetic algorithms, which are derived from artificial intelligence techniques. Describes an evaluation of different genetic algorithms using a residual collection method and compares results with the Ide dec-hi method (Salton and Buckley, 1990…
Descriptors: Algorithms, Artificial Intelligence, Comparative Analysis, Evaluation Methods
