Enhancing Information Retrieval System By using AGA - Couverture souple

Abualigah, Laith

 
9783639762419: Enhancing Information Retrieval System By using AGA
Couverture souple
ISBN 10 : 363976241X ISBN 13 : 9783639762419
Editeur : Scholars' Press, 2015

Synopsis

Genetic algorithm was used in information retrieval systems (IRs) for enhance in the information retrieval process to meet with the user needs (optimize the query), and given more performance in information retrieval, the user is looking at the optimal retrieval of information (user need in query) and closest to the right between the huge and growing number of information available. The improvement in inquiry helps to retrieve the information needed by the user in the most accurate and works to reduce the number of files retrieved relevant and exclude files not relevant. Genetic algorithms used in ancient traditional areas such as information retrieval, artificial intelligence, and Neural networks.In this study we will use cosine similarity to compute similarity between the query and documents. We will use three Fitness function in this study (adaptive fitness), and we will use four ratio mutation (adaptive mutation) operators to get the best results through comparing each one function fitness with each mutation.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Genetic algorithm was used in information retrieval systems (IRs) for enhance in the information retrieval process to meet with the user needs (optimize the query), and given more performance in information retrieval, the user is looking at the optimal retrieval of information (user need in query) and closest to the right between the huge and growing number of information available. The improvement in inquiry helps to retrieve the information needed by the user in the most accurate and works to reduce the number of files retrieved relevant and exclude files not relevant. Genetic algorithms used in ancient traditional areas such as information retrieval, artificial intelligence, and Neural networks.In this study we will use cosine similarity to compute similarity between the query and documents. We will use three Fitness function in this study (adaptive fitness), and we will use four ratio mutation (adaptive mutation) operators to get the best results through comparing each one function fitness with each mutation.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2015
Langue
anglais
ISBN 10 
363976241X
ISBN 13 
9783639762419
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
non disponible