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Lopez-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

Pudovkin, Alexander I.; Garfield, Eugene – Journal of the American Society for Information Science and Technology, 2002
Using citations, papers and references as parameters a relatedness factor (RF) is computed for a series of journals. Sorting these journals by the RF produces a list of journals most closely related to a specified starting journal. The method appears to select a set of journals that are semantically most similar to the target journal. The…
Descriptors: Algorithms, Citation Analysis, Citations (References), Comparative Analysis